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You searched for subject:(Optimization problems ). Showing records 1 – 30 of 295 total matches.

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Cornell University

1. Nagarajan, Chandrashekhar. Algorithms for Locating Facilities under Uncertainties .

Degree: 2008, Cornell University

 One of the main challenges in the area of discrete optimization is to find efficient and effective ways of solving problems that arise in day-to-day… (more)

Subjects/Keywords: Algorithms; Approximation; Optimization; Location Problems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nagarajan, C. (2008). Algorithms for Locating Facilities under Uncertainties . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/11387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nagarajan, Chandrashekhar. “Algorithms for Locating Facilities under Uncertainties .” 2008. Thesis, Cornell University. Accessed June 19, 2019. http://hdl.handle.net/1813/11387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nagarajan, Chandrashekhar. “Algorithms for Locating Facilities under Uncertainties .” 2008. Web. 19 Jun 2019.

Vancouver:

Nagarajan C. Algorithms for Locating Facilities under Uncertainties . [Internet] [Thesis]. Cornell University; 2008. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1813/11387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nagarajan C. Algorithms for Locating Facilities under Uncertainties . [Thesis]. Cornell University; 2008. Available from: http://hdl.handle.net/1813/11387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

2. Wang, Ye, Ph. D. Novel convex optimization techniques for circuit analysis and synthesis.

Degree: Electrical and Computer Engineering, 2018, University of Texas – Austin

 Technology scaling brings about the need for computationally efficient methods for circuit analysis, optimization, and synthesis. Convex optimization is a special class of mathematical optimization(more)

Subjects/Keywords: Convex optimization; EDA problems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, Ye, P. D. (2018). Novel convex optimization techniques for circuit analysis and synthesis. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/67661

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Ye, Ph D. “Novel convex optimization techniques for circuit analysis and synthesis.” 2018. Thesis, University of Texas – Austin. Accessed June 19, 2019. http://hdl.handle.net/2152/67661.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Ye, Ph D. “Novel convex optimization techniques for circuit analysis and synthesis.” 2018. Web. 19 Jun 2019.

Vancouver:

Wang, Ye PD. Novel convex optimization techniques for circuit analysis and synthesis. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/2152/67661.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang, Ye PD. Novel convex optimization techniques for circuit analysis and synthesis. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/67661

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

3. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28521

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28521.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 19 Jun 2019.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28521.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28521

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

4. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28523

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28523.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 19 Jun 2019.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28523.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28523

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

5. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28526

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28526.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 19 Jun 2019.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28526.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28526

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

6. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28527

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28527.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 19 Jun 2019.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28527.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28527

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

7. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 19 Jun 2019.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

8. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28529

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28529.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 19 Jun 2019.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28529.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28529

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

9. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28533

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28533.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 19 Jun 2019.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28533.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28533

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

10. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28535

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28535.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 19 Jun 2019.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28535.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28535

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

11. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28536

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28536.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 19 Jun 2019.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28536.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28536

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

12. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28550

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28550.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 19 Jun 2019.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28550.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28550

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

13. Udhayakumar, A. Approaches for some special classes of stochastic optimization problems; -.

Degree: Science and Humanities, 2014, Anna University

This research work is an attempt to study efficient ways of solving newlinesome special classes of stochastic optimization problems The research newlineconcerns the development of… (more)

Subjects/Keywords: optimization problems; science and humanities; stochastic

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Udhayakumar, A. (2014). Approaches for some special classes of stochastic optimization problems; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/27450

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Udhayakumar, A. “Approaches for some special classes of stochastic optimization problems; -.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/27450.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Udhayakumar, A. “Approaches for some special classes of stochastic optimization problems; -.” 2014. Web. 19 Jun 2019.

Vancouver:

Udhayakumar A. Approaches for some special classes of stochastic optimization problems; -. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27450.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Udhayakumar A. Approaches for some special classes of stochastic optimization problems; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27450

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

14. Rengaraj R. Enhancement of evolutionary optimization techniques applied to conventional and cogeneration power economic dispatch problems;.

Degree: Enhancement of evolutionary optimization techniques applied to conventional and cogeneration power economic dispatch problems, 2015, Anna University

This thesis presents the enhancements of evolutionary algorithms newlineEAs and their application to solve the economic dispatch ED problems of newlineconventional thermal power plants and… (more)

Subjects/Keywords: dispatch problems; electrical engineering; evolutionary optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

R, R. (2015). Enhancement of evolutionary optimization techniques applied to conventional and cogeneration power economic dispatch problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/32156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

R, Rengaraj. “Enhancement of evolutionary optimization techniques applied to conventional and cogeneration power economic dispatch problems;.” 2015. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/32156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

R, Rengaraj. “Enhancement of evolutionary optimization techniques applied to conventional and cogeneration power economic dispatch problems;.” 2015. Web. 19 Jun 2019.

Vancouver:

R R. Enhancement of evolutionary optimization techniques applied to conventional and cogeneration power economic dispatch problems;. [Internet] [Thesis]. Anna University; 2015. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/32156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

R R. Enhancement of evolutionary optimization techniques applied to conventional and cogeneration power economic dispatch problems;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/32156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Hassani, Sara. Optimality conditions for nonsmooth optimization problems via generalised derivatives.

Degree: PhD, 2016, Federation University Australia

 Aquatic plants are integral components of freshwater ecosystems and provide essential ecosystem services. However, when invasive species establish in new aquatic environments, there are few… (more)

Subjects/Keywords: Optimality conditions; Nonsmooth optimization problems; Generalised derivatives

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APA (6th Edition):

Hassani, S. (2016). Optimality conditions for nonsmooth optimization problems via generalised derivatives. (Doctoral Dissertation). Federation University Australia. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/157663 ; https://library.federation.edu.au/record=b2721697

Chicago Manual of Style (16th Edition):

Hassani, Sara. “Optimality conditions for nonsmooth optimization problems via generalised derivatives.” 2016. Doctoral Dissertation, Federation University Australia. Accessed June 19, 2019. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/157663 ; https://library.federation.edu.au/record=b2721697.

MLA Handbook (7th Edition):

Hassani, Sara. “Optimality conditions for nonsmooth optimization problems via generalised derivatives.” 2016. Web. 19 Jun 2019.

Vancouver:

Hassani S. Optimality conditions for nonsmooth optimization problems via generalised derivatives. [Internet] [Doctoral dissertation]. Federation University Australia; 2016. [cited 2019 Jun 19]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/157663 ; https://library.federation.edu.au/record=b2721697.

Council of Science Editors:

Hassani S. Optimality conditions for nonsmooth optimization problems via generalised derivatives. [Doctoral Dissertation]. Federation University Australia; 2016. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/157663 ; https://library.federation.edu.au/record=b2721697


Australian National University

16. Bertoli, Francesco. Tactical Problems in Vehicle Routing Applications .

Degree: 2018, Australian National University

 The class of Vehicle Routing Problems (VRPs) is one the most studied topics in the Operations Research community. The vast majority of the published papers… (more)

Subjects/Keywords: Vehicle Routing Problems; Tactical Problems; Operations Research; Mathematical Programming; Metaheuristic; Discrete Optimization; Discrete Optimisation

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APA (6th Edition):

Bertoli, F. (2018). Tactical Problems in Vehicle Routing Applications . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/146047

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bertoli, Francesco. “Tactical Problems in Vehicle Routing Applications .” 2018. Thesis, Australian National University. Accessed June 19, 2019. http://hdl.handle.net/1885/146047.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bertoli, Francesco. “Tactical Problems in Vehicle Routing Applications .” 2018. Web. 19 Jun 2019.

Vancouver:

Bertoli F. Tactical Problems in Vehicle Routing Applications . [Internet] [Thesis]. Australian National University; 2018. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1885/146047.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bertoli F. Tactical Problems in Vehicle Routing Applications . [Thesis]. Australian National University; 2018. Available from: http://hdl.handle.net/1885/146047

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Wisconsin – Milwaukee

17. Ghotbi, Ehsan. Bi- and Multi Level Game Theoretic Approaches in Mechanical Design.

Degree: PhD, Engineering, 2013, University of Wisconsin – Milwaukee

  This dissertation presents a game theoretic approach to solve bi and multi-level optimization problems arising in mechanical design. Toward this end, Stackelberg (leader-follower), Nash,… (more)

Subjects/Keywords: Decentralized Problems; Design Optimization; Game Theory; Hierarchical Problems; Multi Level Programming; Optimization; Economics; Mathematics; Mechanical Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghotbi, E. (2013). Bi- and Multi Level Game Theoretic Approaches in Mechanical Design. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/250

Chicago Manual of Style (16th Edition):

Ghotbi, Ehsan. “Bi- and Multi Level Game Theoretic Approaches in Mechanical Design.” 2013. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed June 19, 2019. https://dc.uwm.edu/etd/250.

MLA Handbook (7th Edition):

Ghotbi, Ehsan. “Bi- and Multi Level Game Theoretic Approaches in Mechanical Design.” 2013. Web. 19 Jun 2019.

Vancouver:

Ghotbi E. Bi- and Multi Level Game Theoretic Approaches in Mechanical Design. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2013. [cited 2019 Jun 19]. Available from: https://dc.uwm.edu/etd/250.

Council of Science Editors:

Ghotbi E. Bi- and Multi Level Game Theoretic Approaches in Mechanical Design. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2013. Available from: https://dc.uwm.edu/etd/250


Georgia Tech

18. Shepardson, Dylan. Algorithms for inverting Hodgkin-Huxley type neuron models.

Degree: PhD, Algorithms, Combinatorics, and Optimization, 2009, Georgia Tech

 The study of neurons is of fundamental importance in biology and medicine. Neurons are the most basic unit of information processing in the nervous system… (more)

Subjects/Keywords: Inverse problems; Hodgkin-Huxley; Neuroscience; Computational neuroscience; Neuron modeling; Optimization; Parameter optimization; Algorithms; Neurons; Neurosciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shepardson, D. (2009). Algorithms for inverting Hodgkin-Huxley type neuron models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/31686

Chicago Manual of Style (16th Edition):

Shepardson, Dylan. “Algorithms for inverting Hodgkin-Huxley type neuron models.” 2009. Doctoral Dissertation, Georgia Tech. Accessed June 19, 2019. http://hdl.handle.net/1853/31686.

MLA Handbook (7th Edition):

Shepardson, Dylan. “Algorithms for inverting Hodgkin-Huxley type neuron models.” 2009. Web. 19 Jun 2019.

Vancouver:

Shepardson D. Algorithms for inverting Hodgkin-Huxley type neuron models. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1853/31686.

Council of Science Editors:

Shepardson D. Algorithms for inverting Hodgkin-Huxley type neuron models. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/31686


University of Manitoba

19. Solomon, Steven. Parallel algorithm design and implementation of regular/irregular problems: an in-depth performance study on graphics processing units.

Degree: Computer Science, 2012, University of Manitoba

 Recently, interest in the Graphics Processing Unit (GPU) for general purpose parallel applications development and research has grown. Much of the current research on the… (more)

Subjects/Keywords: Parallel Computing; GPU; CUDA; Combinatorial Optimization; Regular/Irregular Problems; Option Pricing; Particle Swarm Optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Solomon, S. (2012). Parallel algorithm design and implementation of regular/irregular problems: an in-depth performance study on graphics processing units. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/5098

Chicago Manual of Style (16th Edition):

Solomon, Steven. “Parallel algorithm design and implementation of regular/irregular problems: an in-depth performance study on graphics processing units.” 2012. Masters Thesis, University of Manitoba. Accessed June 19, 2019. http://hdl.handle.net/1993/5098.

MLA Handbook (7th Edition):

Solomon, Steven. “Parallel algorithm design and implementation of regular/irregular problems: an in-depth performance study on graphics processing units.” 2012. Web. 19 Jun 2019.

Vancouver:

Solomon S. Parallel algorithm design and implementation of regular/irregular problems: an in-depth performance study on graphics processing units. [Internet] [Masters thesis]. University of Manitoba; 2012. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1993/5098.

Council of Science Editors:

Solomon S. Parallel algorithm design and implementation of regular/irregular problems: an in-depth performance study on graphics processing units. [Masters Thesis]. University of Manitoba; 2012. Available from: http://hdl.handle.net/1993/5098

20. Anonymous, Najmussehar. On Some Problems of Optimization in Sample Surveys;.

Degree: Statistics and Operations Research, 2002, Aligarh Muslim University

Abstract available newline newline

Bibliography p. 133-153, Appendix p. 121-132

Advisors/Committee Members: Ahsan, Mohammad Jameel.

Subjects/Keywords: Optimization; Surveys; Sample; Problems; Statistical

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APA (6th Edition):

Anonymous, N. (2002). On Some Problems of Optimization in Sample Surveys;. (Thesis). Aligarh Muslim University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/51742

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Anonymous, Najmussehar. “On Some Problems of Optimization in Sample Surveys;.” 2002. Thesis, Aligarh Muslim University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/51742.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Anonymous, Najmussehar. “On Some Problems of Optimization in Sample Surveys;.” 2002. Web. 19 Jun 2019.

Vancouver:

Anonymous N. On Some Problems of Optimization in Sample Surveys;. [Internet] [Thesis]. Aligarh Muslim University; 2002. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/51742.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Anonymous N. On Some Problems of Optimization in Sample Surveys;. [Thesis]. Aligarh Muslim University; 2002. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/51742

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Utah

21. Addepalli, Bhagirath. Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization.

Degree: PhD, Mechanical Engineering, 2016, University of Utah

 The present work focuses on developing a holistic understanding of flow and dispersion in urban environments. Toward this end, ideas are drawn from the fields… (more)

Subjects/Keywords: genetic algorithms; inverse problems; PIV; source inversion; street canyon; urban optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Addepalli, B. (2016). Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4115/rec/1044

Chicago Manual of Style (16th Edition):

Addepalli, Bhagirath. “Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization.” 2016. Doctoral Dissertation, University of Utah. Accessed June 19, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4115/rec/1044.

MLA Handbook (7th Edition):

Addepalli, Bhagirath. “Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization.” 2016. Web. 19 Jun 2019.

Vancouver:

Addepalli B. Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization. [Internet] [Doctoral dissertation]. University of Utah; 2016. [cited 2019 Jun 19]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4115/rec/1044.

Council of Science Editors:

Addepalli B. Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization. [Doctoral Dissertation]. University of Utah; 2016. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4115/rec/1044

22. Sato, André Kubagawa. Proposta de algoritmo para a determinação da região livre de colisão e sua aplicação na solução de leiautes bidimensionais irregulares com recozimento simulado.

Degree: Mestrado, Engenharia de Controle e Automação Mecânica, 2011, University of São Paulo

O problema de empacotamento consiste em arranjar um conjunto de itens em um contêiner, a fim de maximizar sua utilização. Este campo de estudos tem… (more)

Subjects/Keywords: Empacotamento; Optimization; Otimização; Packing problems; Recozimento simulado; Simulated annealing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sato, A. K. (2011). Proposta de algoritmo para a determinação da região livre de colisão e sua aplicação na solução de leiautes bidimensionais irregulares com recozimento simulado. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3152/tde-28022011-151901/ ;

Chicago Manual of Style (16th Edition):

Sato, André Kubagawa. “Proposta de algoritmo para a determinação da região livre de colisão e sua aplicação na solução de leiautes bidimensionais irregulares com recozimento simulado.” 2011. Masters Thesis, University of São Paulo. Accessed June 19, 2019. http://www.teses.usp.br/teses/disponiveis/3/3152/tde-28022011-151901/ ;.

MLA Handbook (7th Edition):

Sato, André Kubagawa. “Proposta de algoritmo para a determinação da região livre de colisão e sua aplicação na solução de leiautes bidimensionais irregulares com recozimento simulado.” 2011. Web. 19 Jun 2019.

Vancouver:

Sato AK. Proposta de algoritmo para a determinação da região livre de colisão e sua aplicação na solução de leiautes bidimensionais irregulares com recozimento simulado. [Internet] [Masters thesis]. University of São Paulo; 2011. [cited 2019 Jun 19]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3152/tde-28022011-151901/ ;.

Council of Science Editors:

Sato AK. Proposta de algoritmo para a determinação da região livre de colisão e sua aplicação na solução de leiautes bidimensionais irregulares com recozimento simulado. [Masters Thesis]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/3/3152/tde-28022011-151901/ ;

23. Tyagi, Sohan Lal. Some tech fuzzy optimization techniquies problems;.

Degree: Mathematics, 2008, Chaudhary Charan Singh University

None newline

Advisors/Committee Members: Singh, K R.

Subjects/Keywords: Fuzzy Optimization; Techniquies Problems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tyagi, S. L. (2008). Some tech fuzzy optimization techniquies problems;. (Thesis). Chaudhary Charan Singh University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26247

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tyagi, Sohan Lal. “Some tech fuzzy optimization techniquies problems;.” 2008. Thesis, Chaudhary Charan Singh University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/26247.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tyagi, Sohan Lal. “Some tech fuzzy optimization techniquies problems;.” 2008. Web. 19 Jun 2019.

Vancouver:

Tyagi SL. Some tech fuzzy optimization techniquies problems;. [Internet] [Thesis]. Chaudhary Charan Singh University; 2008. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26247.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tyagi SL. Some tech fuzzy optimization techniquies problems;. [Thesis]. Chaudhary Charan Singh University; 2008. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26247

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Visalakshi P. Certain investigations on particle Swarm optimization techniques for Multiprocessor scheduling problems;.

Degree: Certain investigations on particle Swarm optimization techniques for Multiprocessor scheduling problems, 2014, Anna University

The importance of scheduling has increased in recent years due to newlinethe growing consumer demand for variety of reduced product life cycles newline changing markets… (more)

Subjects/Keywords: Dynamic task scheduling; Genetic Algorithms; Multiprocessor scheduling problems; Particle Swarm Optimization

Page 1

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

P, V. (2014). Certain investigations on particle Swarm optimization techniques for Multiprocessor scheduling problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/29042

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

P, Visalakshi. “Certain investigations on particle Swarm optimization techniques for Multiprocessor scheduling problems;.” 2014. Thesis, Anna University. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/29042.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

P, Visalakshi. “Certain investigations on particle Swarm optimization techniques for Multiprocessor scheduling problems;.” 2014. Web. 19 Jun 2019.

Vancouver:

P V. Certain investigations on particle Swarm optimization techniques for Multiprocessor scheduling problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29042.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

P V. Certain investigations on particle Swarm optimization techniques for Multiprocessor scheduling problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29042

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Pirzada, Umme Salma. Nonlinear fuzzy optimization problems and their applications; -.

Degree: Applied Mathematics, 2011, Maharaja Sayajirao University of Baroda

NOne

References p. 105-112

Advisors/Committee Members: Rama Mohan, S.

Subjects/Keywords: Applications; Nonlinear; Optimization; Problems

Page 1

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pirzada, U. S. (2011). Nonlinear fuzzy optimization problems and their applications; -. (Thesis). Maharaja Sayajirao University of Baroda. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/29154

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pirzada, Umme Salma. “Nonlinear fuzzy optimization problems and their applications; -.” 2011. Thesis, Maharaja Sayajirao University of Baroda. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/29154.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pirzada, Umme Salma. “Nonlinear fuzzy optimization problems and their applications; -.” 2011. Web. 19 Jun 2019.

Vancouver:

Pirzada US. Nonlinear fuzzy optimization problems and their applications; -. [Internet] [Thesis]. Maharaja Sayajirao University of Baroda; 2011. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29154.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pirzada US. Nonlinear fuzzy optimization problems and their applications; -. [Thesis]. Maharaja Sayajirao University of Baroda; 2011. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29154

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Singh, Yogender. Contribution to some optimization problems for inventory system and marketing; -.

Degree: Operational Research, 2013, University of Delhi

Available

Rafarance p.149-167

Advisors/Committee Members: Jha,P C and Srivastava, Preeti Wanti.

Subjects/Keywords: inventory system; optimization problems

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APA (6th Edition):

Singh, Y. (2013). Contribution to some optimization problems for inventory system and marketing; -. (Thesis). University of Delhi. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/36158

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Singh, Yogender. “Contribution to some optimization problems for inventory system and marketing; -.” 2013. Thesis, University of Delhi. Accessed June 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/36158.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Singh, Yogender. “Contribution to some optimization problems for inventory system and marketing; -.” 2013. Web. 19 Jun 2019.

Vancouver:

Singh Y. Contribution to some optimization problems for inventory system and marketing; -. [Internet] [Thesis]. University of Delhi; 2013. [cited 2019 Jun 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36158.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Singh Y. Contribution to some optimization problems for inventory system and marketing; -. [Thesis]. University of Delhi; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36158

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

27. Huang , Yao-ting. Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

 The so-called multi-objective optimization problem (MOP) has become a critical research subject because many multi-objective optimization problems exist in our daily life. Unlike solving a… (more)

Subjects/Keywords: NSGA-II; pareto optimality; multi-objective problems; firefly algorithm; functional optimization

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APA (6th Edition):

Huang , Y. (2015). Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-162831

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang , Yao-ting. “Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization.” 2015. Thesis, NSYSU. Accessed June 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-162831.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang , Yao-ting. “Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization.” 2015. Web. 19 Jun 2019.

Vancouver:

Huang Y. Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Jun 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-162831.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang Y. Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-162831

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Case Western Reserve University

28. Cho, Yong Beom. Silicon neural networks for optimization problems.

Degree: PhD, Electrical Engineering, 1992, Case Western Reserve University

 This dissertation will present two aspects of artificial neural networks: some efficient parallel algorithms for assignment problems, and a silicon neural network architecture for optimization(more)

Subjects/Keywords: Silicon neural networks optimization problems

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APA (6th Edition):

Cho, Y. B. (1992). Silicon neural networks for optimization problems. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1056555044

Chicago Manual of Style (16th Edition):

Cho, Yong Beom. “Silicon neural networks for optimization problems.” 1992. Doctoral Dissertation, Case Western Reserve University. Accessed June 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1056555044.

MLA Handbook (7th Edition):

Cho, Yong Beom. “Silicon neural networks for optimization problems.” 1992. Web. 19 Jun 2019.

Vancouver:

Cho YB. Silicon neural networks for optimization problems. [Internet] [Doctoral dissertation]. Case Western Reserve University; 1992. [cited 2019 Jun 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1056555044.

Council of Science Editors:

Cho YB. Silicon neural networks for optimization problems. [Doctoral Dissertation]. Case Western Reserve University; 1992. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1056555044


Univerzitet u Beogradu

29. Pavlović, Petar S., 1978-. Određivanje skupa komponenata najznačajnijih za pouzdanost sistema.

Degree: Fakultet organizacionih nauka, 2018, Univerzitet u Beogradu

OPERACIONA ISTRAŽIVANJA - POUZDANOST

Mere značajnosti (Importance measures) predstavlјaju načine merenja, tj. brojčanog iskazivanja značajnosti pojedinih komponenata u sistemu sa aspekta ukupne pouzdanosti sistema. Merama… (more)

Subjects/Keywords: importance measures; fault tree; minimal cut sets; coverage problems; optimization; heuristic

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pavlović, Petar S., 1. (2018). Određivanje skupa komponenata najznačajnijih za pouzdanost sistema. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:17025/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pavlović, Petar S., 1978-. “Određivanje skupa komponenata najznačajnijih za pouzdanost sistema.” 2018. Thesis, Univerzitet u Beogradu. Accessed June 19, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:17025/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pavlović, Petar S., 1978-. “Određivanje skupa komponenata najznačajnijih za pouzdanost sistema.” 2018. Web. 19 Jun 2019.

Vancouver:

Pavlović, Petar S. 1. Određivanje skupa komponenata najznačajnijih za pouzdanost sistema. [Internet] [Thesis]. Univerzitet u Beogradu; 2018. [cited 2019 Jun 19]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:17025/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pavlović, Petar S. 1. Određivanje skupa komponenata najznačajnijih za pouzdanost sistema. [Thesis]. Univerzitet u Beogradu; 2018. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:17025/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Espinoza García, Juan Carlos. Robust optimization for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise.

Degree: Docteur es, Sciences de gestion, 2017, Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales

L’objectif de cette thèse est de proposer des solutions efficaces à des problèmes de décision qui ont un impact sur la vie des citoyens, et… (more)

Subjects/Keywords: Optimisation robust; Modèles de choix; Robust optimization; Location problems; Choice models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Espinoza García, J. C. (2017). Robust optimization for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise. (Doctoral Dissertation). Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales. Retrieved from http://www.theses.fr/2017ESEC0004

Chicago Manual of Style (16th Edition):

Espinoza García, Juan Carlos. “Robust optimization for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise.” 2017. Doctoral Dissertation, Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales. Accessed June 19, 2019. http://www.theses.fr/2017ESEC0004.

MLA Handbook (7th Edition):

Espinoza García, Juan Carlos. “Robust optimization for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise.” 2017. Web. 19 Jun 2019.

Vancouver:

Espinoza García JC. Robust optimization for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise. [Internet] [Doctoral dissertation]. Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales; 2017. [cited 2019 Jun 19]. Available from: http://www.theses.fr/2017ESEC0004.

Council of Science Editors:

Espinoza García JC. Robust optimization for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise. [Doctoral Dissertation]. Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales; 2017. Available from: http://www.theses.fr/2017ESEC0004

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