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You searched for subject:(ant colony optimization). Showing records 1 – 30 of 162 total matches.

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University of Georgia

1. Robbins, Kelly R. Statistical methods for the analysis of complex genomic data.

Degree: PhD, Animal Science, 2007, University of Georgia

 The use of genomic technology has the potential to provide invaluable insight into the mechanisms of several important traits. Unfortunately this information comes at a… (more)

Subjects/Keywords: ant colony optimization

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APA (6th Edition):

Robbins, K. R. (2007). Statistical methods for the analysis of complex genomic data. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/robbins_kelly_200712_phd

Chicago Manual of Style (16th Edition):

Robbins, Kelly R. “Statistical methods for the analysis of complex genomic data.” 2007. Doctoral Dissertation, University of Georgia. Accessed August 08, 2020. http://purl.galileo.usg.edu/uga_etd/robbins_kelly_200712_phd.

MLA Handbook (7th Edition):

Robbins, Kelly R. “Statistical methods for the analysis of complex genomic data.” 2007. Web. 08 Aug 2020.

Vancouver:

Robbins KR. Statistical methods for the analysis of complex genomic data. [Internet] [Doctoral dissertation]. University of Georgia; 2007. [cited 2020 Aug 08]. Available from: http://purl.galileo.usg.edu/uga_etd/robbins_kelly_200712_phd.

Council of Science Editors:

Robbins KR. Statistical methods for the analysis of complex genomic data. [Doctoral Dissertation]. University of Georgia; 2007. Available from: http://purl.galileo.usg.edu/uga_etd/robbins_kelly_200712_phd


University of New Mexico

2. Flynn, Mark. Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network.

Degree: Department of Computer Science, 2011, University of New Mexico

 Peer review, our current system for determining which papers to accept and which to reject by journals and conferences, has limitations that impair the quality… (more)

Subjects/Keywords: Ant Colony Optimization; Peer review

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APA (6th Edition):

Flynn, M. (2011). Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network. (Masters Thesis). University of New Mexico. Retrieved from http://hdl.handle.net/1928/13085

Chicago Manual of Style (16th Edition):

Flynn, Mark. “Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network.” 2011. Masters Thesis, University of New Mexico. Accessed August 08, 2020. http://hdl.handle.net/1928/13085.

MLA Handbook (7th Edition):

Flynn, Mark. “Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network.” 2011. Web. 08 Aug 2020.

Vancouver:

Flynn M. Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network. [Internet] [Masters thesis]. University of New Mexico; 2011. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1928/13085.

Council of Science Editors:

Flynn M. Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network. [Masters Thesis]. University of New Mexico; 2011. Available from: http://hdl.handle.net/1928/13085


Texas A&M University

3. McDonald, Walter. A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing.

Degree: 2012, Texas A&M University

 An algorithm is presented that is capable of producing Pareto-optimal solutions for multi-objective infrastructure routing problems: the Multi-Objective Ant Colony Optimization (MOACO). This algorithm offers… (more)

Subjects/Keywords: Ant Colony Optimization; Multi-Objective; Multi-Objective Ant Colony Optimization

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APA (6th Edition):

McDonald, W. (2012). A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11093

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):

McDonald, Walter. “A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing.” 2012. Thesis, Texas A&M University. Accessed August 08, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11093.

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

MLA Handbook (7th Edition):

McDonald, Walter. “A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing.” 2012. Web. 08 Aug 2020.

Vancouver:

McDonald W. A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11093.

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

Council of Science Editors:

McDonald W. A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11093

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


NSYSU

4. Hu, Kai-Cheng. Ant Colony Optimization with Dual Pheromone Table for Clustering.

Degree: Master, Computer Science and Engineering, 2011, NSYSU

 This thesis presents a novel algorithm called ant colony optimization with dual pheromone tables (ACODPT) for improving the quality of ant colony optimization (ACO). The… (more)

Subjects/Keywords: ant colony optimization; ant colony system; duel pheromone table; clustering

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APA (6th Edition):

Hu, K. (2011). Ant Colony Optimization with Dual Pheromone Table for Clustering. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901111-164601

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):

Hu, Kai-Cheng. “Ant Colony Optimization with Dual Pheromone Table for Clustering.” 2011. Thesis, NSYSU. Accessed August 08, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901111-164601.

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

MLA Handbook (7th Edition):

Hu, Kai-Cheng. “Ant Colony Optimization with Dual Pheromone Table for Clustering.” 2011. Web. 08 Aug 2020.

Vancouver:

Hu K. Ant Colony Optimization with Dual Pheromone Table for Clustering. [Internet] [Thesis]. NSYSU; 2011. [cited 2020 Aug 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901111-164601.

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

Council of Science Editors:

Hu K. Ant Colony Optimization with Dual Pheromone Table for Clustering. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901111-164601

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


University of Georgia

5. Hardas, Shilpa P. An ant colony approach to the Snake-in-the-Box problem.

Degree: MS, Artificial Intelligence, 2005, University of Georgia

 In this thesis we present a new approach to the Snake-In-the-Box (SIB) problem using Ant Colony Optimization (ACO). ACO refers to a class of algorithms… (more)

Subjects/Keywords: Ant Colony Optimization

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APA (6th Edition):

Hardas, S. P. (2005). An ant colony approach to the Snake-in-the-Box problem. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/hardas_shilpa_p_200508_ms

Chicago Manual of Style (16th Edition):

Hardas, Shilpa P. “An ant colony approach to the Snake-in-the-Box problem.” 2005. Masters Thesis, University of Georgia. Accessed August 08, 2020. http://purl.galileo.usg.edu/uga_etd/hardas_shilpa_p_200508_ms.

MLA Handbook (7th Edition):

Hardas, Shilpa P. “An ant colony approach to the Snake-in-the-Box problem.” 2005. Web. 08 Aug 2020.

Vancouver:

Hardas SP. An ant colony approach to the Snake-in-the-Box problem. [Internet] [Masters thesis]. University of Georgia; 2005. [cited 2020 Aug 08]. Available from: http://purl.galileo.usg.edu/uga_etd/hardas_shilpa_p_200508_ms.

Council of Science Editors:

Hardas SP. An ant colony approach to the Snake-in-the-Box problem. [Masters Thesis]. University of Georgia; 2005. Available from: http://purl.galileo.usg.edu/uga_etd/hardas_shilpa_p_200508_ms


Texas A&M University

6. Jaber, Dana N. Multi-input multi-output (MIMO) detection by a colony of ants.

Degree: 2009, Texas A&M University

 The traditional mobile radio channel has always suffered from the detrimental effects of multipath fading. The use of multiple antennae at both ends of the… (more)

Subjects/Keywords: MIMO; Ant Colony Optimization; Maximum-Likelihood; LabView

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APA (6th Edition):

Jaber, D. N. (2009). Multi-input multi-output (MIMO) detection by a colony of ants. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1778

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):

Jaber, Dana N. “Multi-input multi-output (MIMO) detection by a colony of ants.” 2009. Thesis, Texas A&M University. Accessed August 08, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-1778.

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

MLA Handbook (7th Edition):

Jaber, Dana N. “Multi-input multi-output (MIMO) detection by a colony of ants.” 2009. Web. 08 Aug 2020.

Vancouver:

Jaber DN. Multi-input multi-output (MIMO) detection by a colony of ants. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1778.

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

Council of Science Editors:

Jaber DN. Multi-input multi-output (MIMO) detection by a colony of ants. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1778

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


Anna University

7. Latha shanmugam. Enhanced ant colony optimization algorithm for parameter estimation method in software reliability models;.

Degree: Enhanced ant colony optimization algorithm for parameter estimation method in software reliability models, 2015, Anna University

The traditional methods used for estimating software reliability are based on assumptions of statistical distributions that are often uncertain and impractical the timely release of… (more)

Subjects/Keywords: ant colony; optimization algorithm; Science and humanities

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APA (6th Edition):

shanmugam, L. (2015). Enhanced ant colony optimization algorithm for parameter estimation method in software reliability models;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/49232

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):

shanmugam, Latha. “Enhanced ant colony optimization algorithm for parameter estimation method in software reliability models;.” 2015. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/49232.

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

MLA Handbook (7th Edition):

shanmugam, Latha. “Enhanced ant colony optimization algorithm for parameter estimation method in software reliability models;.” 2015. Web. 08 Aug 2020.

Vancouver:

shanmugam L. Enhanced ant colony optimization algorithm for parameter estimation method in software reliability models;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/49232.

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

Council of Science Editors:

shanmugam L. Enhanced ant colony optimization algorithm for parameter estimation method in software reliability models;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/49232

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


University of Manitoba

8. Liu, Ying Ying. A Polymorphic Ant-Based Algorithm for Graph Clustering.

Degree: Computer Science, 2016, University of Manitoba

 In this thesis, I introduce two new algorithms: Ant Brood Clustering-Intelligent Ants (ABC-INTE) and Ant Brood Clustering-Polymorphic Ants (ABC-POLY) for the graph clustering problem. ABC-INTE… (more)

Subjects/Keywords: Swarm Intelligence; Metaheuristics; Graph Clustering; Ant Colony Optimization; Ant Brood Clustering

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APA (6th Edition):

Liu, Y. Y. (2016). A Polymorphic Ant-Based Algorithm for Graph Clustering. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31202

Chicago Manual of Style (16th Edition):

Liu, Ying Ying. “A Polymorphic Ant-Based Algorithm for Graph Clustering.” 2016. Masters Thesis, University of Manitoba. Accessed August 08, 2020. http://hdl.handle.net/1993/31202.

MLA Handbook (7th Edition):

Liu, Ying Ying. “A Polymorphic Ant-Based Algorithm for Graph Clustering.” 2016. Web. 08 Aug 2020.

Vancouver:

Liu YY. A Polymorphic Ant-Based Algorithm for Graph Clustering. [Internet] [Masters thesis]. University of Manitoba; 2016. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1993/31202.

Council of Science Editors:

Liu YY. A Polymorphic Ant-Based Algorithm for Graph Clustering. [Masters Thesis]. University of Manitoba; 2016. Available from: http://hdl.handle.net/1993/31202


Brno University of Technology

9. Kaščák, Imrich. Aplikace mravenčích algoritmů: Applications of Ant Algorithms.

Degree: 2019, Brno University of Technology

 The presented thesis focuses on the basic optimization algorithm of Ant Colony Optimization (ACO) - Ant System (AS) and its extension, Ant Colony System (ACS)… (more)

Subjects/Keywords: optimalizácia mravčou kolóniou; problém obchodného cestujúceho; Ant System; Ant Colony System; detekcia hrán; spracovanie obrazu; Ant Colony Optimization; Traveling Salesman Problem; Ant System; Ant Colony System; edge detection; image processing

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APA (6th Edition):

Kaščák, I. (2019). Aplikace mravenčích algoritmů: Applications of Ant Algorithms. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/85060

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):

Kaščák, Imrich. “Aplikace mravenčích algoritmů: Applications of Ant Algorithms.” 2019. Thesis, Brno University of Technology. Accessed August 08, 2020. http://hdl.handle.net/11012/85060.

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

MLA Handbook (7th Edition):

Kaščák, Imrich. “Aplikace mravenčích algoritmů: Applications of Ant Algorithms.” 2019. Web. 08 Aug 2020.

Vancouver:

Kaščák I. Aplikace mravenčích algoritmů: Applications of Ant Algorithms. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/11012/85060.

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

Council of Science Editors:

Kaščák I. Aplikace mravenčích algoritmů: Applications of Ant Algorithms. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/85060

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


Anna University

10. Soundarrajan A. Investigations on the applications of intelligent controllers for voltage and frequency control in power generating systems.

Degree: Electrical and Electronics, 2012, Anna University

Power generating system has the responsibility to ensure that adequate power is delivered to the load, both reliably and economically. The control of frequency is… (more)

Subjects/Keywords: Genetic Algorithm; Particle Swarm Optimization; Ant Colony Optimization; Hybrid Evolutionary Algorithms

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APA (6th Edition):

A, S. (2012). Investigations on the applications of intelligent controllers for voltage and frequency control in power generating systems. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9828

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):

A, Soundarrajan. “Investigations on the applications of intelligent controllers for voltage and frequency control in power generating systems.” 2012. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/9828.

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

MLA Handbook (7th Edition):

A, Soundarrajan. “Investigations on the applications of intelligent controllers for voltage and frequency control in power generating systems.” 2012. Web. 08 Aug 2020.

Vancouver:

A S. Investigations on the applications of intelligent controllers for voltage and frequency control in power generating systems. [Internet] [Thesis]. Anna University; 2012. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9828.

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

Council of Science Editors:

A S. Investigations on the applications of intelligent controllers for voltage and frequency control in power generating systems. [Thesis]. Anna University; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9828

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

11. Raja murugadoss J. Domain based multiple ant colony Algorithm for discrete structural Optimization a metaheuristic approach;.

Degree: Domain based multiple ant colony Algorithm for discrete structural Optimization a metaheuristic approach, 2014, Anna University

newlineMany research works have been successfully carried out on newlineoptimum structural designs by means of several soft computing tools such as newlineGenetic Algorithm GA Simulated… (more)

Subjects/Keywords: Ant Colony Optimization; Cost Minimization algorithm; Domain Based Multiple Ant Colony Optimization; Genetic Algorithm; Simulated Annealing; Tabu Search

Page 1

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APA (6th Edition):

J, R. m. (2014). Domain based multiple ant colony Algorithm for discrete structural Optimization a metaheuristic approach;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/29898

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):

J, Raja murugadoss. “Domain based multiple ant colony Algorithm for discrete structural Optimization a metaheuristic approach;.” 2014. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/29898.

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

MLA Handbook (7th Edition):

J, Raja murugadoss. “Domain based multiple ant colony Algorithm for discrete structural Optimization a metaheuristic approach;.” 2014. Web. 08 Aug 2020.

Vancouver:

J Rm. Domain based multiple ant colony Algorithm for discrete structural Optimization a metaheuristic approach;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29898.

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

Council of Science Editors:

J Rm. Domain based multiple ant colony Algorithm for discrete structural Optimization a metaheuristic approach;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29898

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


Brno University of Technology

12. Hula, Tomáš. Experimenty s rojovou inteligencí (swarm intelligence): Experiments with the Swarm Intelligence.

Degree: 2019, Brno University of Technology

 This work deals with the issue of swarm intelligence as a subdiscipline of artificial intelligence. It describes biological background of the dilemma briefly and presents… (more)

Subjects/Keywords: rojová inteligence; umělá inteligence; mravenčí kolonie; kombinatorická optimalizace; Travelling Salesman Problem; Quadratic Assignment Problem; Ant Colony Optimization; Ant System; Ant Colony System; Max-Min Ant System; Hybrid Ant System; Genetic Ant System; swarm intelligence; artificial intelligence; ant colony; combinatorial optimization; Travelling Salesman Problem; Quadratic Assignment Problem; Ant Colony Optimization; Ant System; Ant Colony System; Max-Min Ant System; Hybrid Ant System; Genetic Ant System

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APA (6th Edition):

Hula, T. (2019). Experimenty s rojovou inteligencí (swarm intelligence): Experiments with the Swarm Intelligence. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53179

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):

Hula, Tomáš. “Experimenty s rojovou inteligencí (swarm intelligence): Experiments with the Swarm Intelligence.” 2019. Thesis, Brno University of Technology. Accessed August 08, 2020. http://hdl.handle.net/11012/53179.

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

MLA Handbook (7th Edition):

Hula, Tomáš. “Experimenty s rojovou inteligencí (swarm intelligence): Experiments with the Swarm Intelligence.” 2019. Web. 08 Aug 2020.

Vancouver:

Hula T. Experimenty s rojovou inteligencí (swarm intelligence): Experiments with the Swarm Intelligence. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/11012/53179.

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

Council of Science Editors:

Hula T. Experimenty s rojovou inteligencí (swarm intelligence): Experiments with the Swarm Intelligence. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53179

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


Anna University

13. Sankar, K. Fuzzy based integrated genetic algorithm and ant colony optimization scheme for uncertainty reduction in data mining tasks; -.

Degree: Information and Communication Engineering, 2014, Anna University

In the context of data mining many tasks are presented by the researchers together with classification regression clustering and dependence modeling Classification is one of… (more)

Subjects/Keywords: Ant Colony Optimization; Data mining; Genetic algorithm; Information and communication engineering

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APA (6th Edition):

Sankar, K. (2014). Fuzzy based integrated genetic algorithm and ant colony optimization scheme for uncertainty reduction in data mining tasks; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24787

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):

Sankar, K. “Fuzzy based integrated genetic algorithm and ant colony optimization scheme for uncertainty reduction in data mining tasks; -.” 2014. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/24787.

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

MLA Handbook (7th Edition):

Sankar, K. “Fuzzy based integrated genetic algorithm and ant colony optimization scheme for uncertainty reduction in data mining tasks; -.” 2014. Web. 08 Aug 2020.

Vancouver:

Sankar K. Fuzzy based integrated genetic algorithm and ant colony optimization scheme for uncertainty reduction in data mining tasks; -. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24787.

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

Council of Science Editors:

Sankar K. Fuzzy based integrated genetic algorithm and ant colony optimization scheme for uncertainty reduction in data mining tasks; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24787

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


Anna University

14. Umarani Srikanth, G. Study of approaches to parallel computing problems; -.

Degree: Information and Communication Engineering, 2014, Anna University

Many applications today require more computing power than traditional uniprocessors can offer Parallel processing provides a cost effective solution to this problem by increasing the… (more)

Subjects/Keywords: Ant Colony Optimization; Communication system; Information and communication engineering; Parallel processing

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APA (6th Edition):

Umarani Srikanth, G. (2014). Study of approaches to parallel computing problems; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24761

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):

Umarani Srikanth, G. “Study of approaches to parallel computing problems; -.” 2014. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/24761.

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

MLA Handbook (7th Edition):

Umarani Srikanth, G. “Study of approaches to parallel computing problems; -.” 2014. Web. 08 Aug 2020.

Vancouver:

Umarani Srikanth G. Study of approaches to parallel computing problems; -. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24761.

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

Council of Science Editors:

Umarani Srikanth G. Study of approaches to parallel computing problems; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24761

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


NSYSU

15. Weng, Hsiang-yi. A Hybrid Algorithm for the Longest Common Subsequence of Multiple Sequences.

Degree: Master, Computer Science and Engineering, 2009, NSYSU

 The k-LCS problem is to find the longest common subsequence (LCS) of k input sequences. It is difficult while the number of input sequences is… (more)

Subjects/Keywords: Ant Colony Optimization Algorithm; genetic algorithm; longest common subsequence

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

APA (6th Edition):

Weng, H. (2009). A Hybrid Algorithm for the Longest Common Subsequence of Multiple Sequences. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819109-141733

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):

Weng, Hsiang-yi. “A Hybrid Algorithm for the Longest Common Subsequence of Multiple Sequences.” 2009. Thesis, NSYSU. Accessed August 08, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819109-141733.

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

MLA Handbook (7th Edition):

Weng, Hsiang-yi. “A Hybrid Algorithm for the Longest Common Subsequence of Multiple Sequences.” 2009. Web. 08 Aug 2020.

Vancouver:

Weng H. A Hybrid Algorithm for the Longest Common Subsequence of Multiple Sequences. [Internet] [Thesis]. NSYSU; 2009. [cited 2020 Aug 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819109-141733.

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

Council of Science Editors:

Weng H. A Hybrid Algorithm for the Longest Common Subsequence of Multiple Sequences. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819109-141733

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


NSYSU

16. Hsiao, Shao-Min. Using Machine Learning and Pheromones for QoS-Packet Routing Path Selection in VANET.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 The environment is highly variable in VANET. Due to high mobility of vehicles and buildings around obstacles, making the transmission stability between vehicles subject to… (more)

Subjects/Keywords: VANET; Routing Protocol; RSU; Transmission Delay; Machine Learning; Ant Colony Optimization

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

APA (6th Edition):

Hsiao, S. (2013). Using Machine Learning and Pheromones for QoS-Packet Routing Path Selection in VANET. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602113-154948

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):

Hsiao, Shao-Min. “Using Machine Learning and Pheromones for QoS-Packet Routing Path Selection in VANET.” 2013. Thesis, NSYSU. Accessed August 08, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602113-154948.

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

MLA Handbook (7th Edition):

Hsiao, Shao-Min. “Using Machine Learning and Pheromones for QoS-Packet Routing Path Selection in VANET.” 2013. Web. 08 Aug 2020.

Vancouver:

Hsiao S. Using Machine Learning and Pheromones for QoS-Packet Routing Path Selection in VANET. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Aug 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602113-154948.

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

Council of Science Editors:

Hsiao S. Using Machine Learning and Pheromones for QoS-Packet Routing Path Selection in VANET. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602113-154948

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


NSYSU

17. Huang, Tzu-yi. Using Machine Learning for dynamic sections of clustering in VANET environment.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 Wireless technology will be affected by interference and collision in VANET environment, which will affect network quality of service. Because of the high mobility vehicle… (more)

Subjects/Keywords: Delay Time; Ant Colony Optimization; Machine Learning; Road-side Unit; VANET

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

APA (6th Edition):

Huang, T. (2013). Using Machine Learning for dynamic sections of clustering in VANET environment. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625113-034122

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, Tzu-yi. “Using Machine Learning for dynamic sections of clustering in VANET environment.” 2013. Thesis, NSYSU. Accessed August 08, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625113-034122.

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

MLA Handbook (7th Edition):

Huang, Tzu-yi. “Using Machine Learning for dynamic sections of clustering in VANET environment.” 2013. Web. 08 Aug 2020.

Vancouver:

Huang T. Using Machine Learning for dynamic sections of clustering in VANET environment. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Aug 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625113-034122.

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

Council of Science Editors:

Huang T. Using Machine Learning for dynamic sections of clustering in VANET environment. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625113-034122

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


NSYSU

18. Lo, Wen-Ling. Botnet Detection Based on HTTP Header Anomaly.

Degree: Master, Information Management, 2015, NSYSU

 Nowadays, botnets use virus to infect computers all around the world and turn them into bots. By controlling the large number of bots, attacker can… (more)

Subjects/Keywords: Ant Colony Optimization; Behavior of botnets; HTTP Header; HTTP Botnet; DBScan

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APA (6th Edition):

Lo, W. (2015). Botnet Detection Based on HTTP Header Anomaly. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719115-145411

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):

Lo, Wen-Ling. “Botnet Detection Based on HTTP Header Anomaly.” 2015. Thesis, NSYSU. Accessed August 08, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719115-145411.

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

MLA Handbook (7th Edition):

Lo, Wen-Ling. “Botnet Detection Based on HTTP Header Anomaly.” 2015. Web. 08 Aug 2020.

Vancouver:

Lo W. Botnet Detection Based on HTTP Header Anomaly. [Internet] [Thesis]. NSYSU; 2015. [cited 2020 Aug 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719115-145411.

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

Council of Science Editors:

Lo W. Botnet Detection Based on HTTP Header Anomaly. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719115-145411

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


University of Canterbury

19. Tasneem, Khawaja Tauseef. Reduced Complexity Detection Techniques for Multi-Antenna Communication Systems.

Degree: Electrical and Computer Engineering, 2013, University of Canterbury

 In a multiuser system, several signals are transmitted simultaneously within the same frequency band. This can result in significant improvements both in spectral efficiency and… (more)

Subjects/Keywords: Cochannel Interference; Rayleigh; Multiuser Detection; Ant Colony Optimization

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APA (6th Edition):

Tasneem, K. T. (2013). Reduced Complexity Detection Techniques for Multi-Antenna Communication Systems. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/8611

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):

Tasneem, Khawaja Tauseef. “Reduced Complexity Detection Techniques for Multi-Antenna Communication Systems.” 2013. Thesis, University of Canterbury. Accessed August 08, 2020. http://hdl.handle.net/10092/8611.

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

MLA Handbook (7th Edition):

Tasneem, Khawaja Tauseef. “Reduced Complexity Detection Techniques for Multi-Antenna Communication Systems.” 2013. Web. 08 Aug 2020.

Vancouver:

Tasneem KT. Reduced Complexity Detection Techniques for Multi-Antenna Communication Systems. [Internet] [Thesis]. University of Canterbury; 2013. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10092/8611.

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

Council of Science Editors:

Tasneem KT. Reduced Complexity Detection Techniques for Multi-Antenna Communication Systems. [Thesis]. University of Canterbury; 2013. Available from: http://hdl.handle.net/10092/8611

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

20. Singh, Sameer. Ant colony optimization to price transmission rights in electricity markets.

Degree: Computer Science, 2015, University of Manitoba

 Financial risk management is of high priority for participants in wholesale deregulated electricity markets due to substantial price and volume risks. Due to high complexity… (more)

Subjects/Keywords: Ant colony optimization

…wisdom. ix Glossary Ant colony optimization (ACO): ACO is a probabilistic… …using ant colony optimization (ACO) based algorithm to price them. Managing the… …price TR. I propose changes to traditional ACO which has been used to solve optimization… …which are dependent on bidding strategies of market participants. This optimization problem of… 

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APA (6th Edition):

Singh, S. (2015). Ant colony optimization to price transmission rights in electricity markets. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/30818

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, Sameer. “Ant colony optimization to price transmission rights in electricity markets.” 2015. Thesis, University of Manitoba. Accessed August 08, 2020. http://hdl.handle.net/1993/30818.

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

MLA Handbook (7th Edition):

Singh, Sameer. “Ant colony optimization to price transmission rights in electricity markets.” 2015. Web. 08 Aug 2020.

Vancouver:

Singh S. Ant colony optimization to price transmission rights in electricity markets. [Internet] [Thesis]. University of Manitoba; 2015. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1993/30818.

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

Council of Science Editors:

Singh S. Ant colony optimization to price transmission rights in electricity markets. [Thesis]. University of Manitoba; 2015. Available from: http://hdl.handle.net/1993/30818

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


University of Windsor

21. Wang, Chenhan. Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA.

Degree: MS, Computer Science, 2017, University of Windsor

 The path planning for mobile robots is one of the core contents in the field of robotics research with complex, restrictive and nonlinear characteristics. It… (more)

Subjects/Keywords: Ant colony optimization; Grid Method; Robot Path Planning

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APA (6th Edition):

Wang, C. (2017). Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7403

Chicago Manual of Style (16th Edition):

Wang, Chenhan. “Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA.” 2017. Masters Thesis, University of Windsor. Accessed August 08, 2020. https://scholar.uwindsor.ca/etd/7403.

MLA Handbook (7th Edition):

Wang, Chenhan. “Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA.” 2017. Web. 08 Aug 2020.

Vancouver:

Wang C. Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA. [Internet] [Masters thesis]. University of Windsor; 2017. [cited 2020 Aug 08]. Available from: https://scholar.uwindsor.ca/etd/7403.

Council of Science Editors:

Wang C. Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA. [Masters Thesis]. University of Windsor; 2017. Available from: https://scholar.uwindsor.ca/etd/7403


Anna University

22. Nalini C. Performance analysis of hybrid rule Induction algorithm using swarm Intelligence techniques;.

Degree: Performance analysis of hybrid rule Induction algorithm using swarm Intelligence techniques, 2014, Anna University

With the enormous amount of data stored in files databases and newlineother repositories it is important to develop a powerful analysis tool to extract newlineinteresting… (more)

Subjects/Keywords: Ant Colony Optimization; Data mining; Evolutionary algorithms; Particle Swarm Optimization; Tabu search

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APA (6th Edition):

C, N. (2014). Performance analysis of hybrid rule Induction algorithm using swarm Intelligence techniques;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/31532

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):

C, Nalini. “Performance analysis of hybrid rule Induction algorithm using swarm Intelligence techniques;.” 2014. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/31532.

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

MLA Handbook (7th Edition):

C, Nalini. “Performance analysis of hybrid rule Induction algorithm using swarm Intelligence techniques;.” 2014. Web. 08 Aug 2020.

Vancouver:

C N. Performance analysis of hybrid rule Induction algorithm using swarm Intelligence techniques;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/31532.

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

Council of Science Editors:

C N. Performance analysis of hybrid rule Induction algorithm using swarm Intelligence techniques;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/31532

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


Anna University

23. Nithya L M. Certain investigations on swarm intelligence based algorithms for performance enhancement in grid task scheduling;.

Degree: Certain investigations on swarm intelligence based algorithms for performance enhancement in grid task scheduling, 2014, Anna University

Grid computing is an emerging field for the next generation parallel and distributed computing platform for solving large scale computational and data intensive problems in… (more)

Subjects/Keywords: Ant Colony Optimization; Grid computing; Information and communication engineering; Particle Swarm Optimization

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APA (6th Edition):

M, N. L. (2014). Certain investigations on swarm intelligence based algorithms for performance enhancement in grid task scheduling;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/23914

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):

M, Nithya L. “Certain investigations on swarm intelligence based algorithms for performance enhancement in grid task scheduling;.” 2014. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/23914.

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

MLA Handbook (7th Edition):

M, Nithya L. “Certain investigations on swarm intelligence based algorithms for performance enhancement in grid task scheduling;.” 2014. Web. 08 Aug 2020.

Vancouver:

M NL. Certain investigations on swarm intelligence based algorithms for performance enhancement in grid task scheduling;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23914.

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

Council of Science Editors:

M NL. Certain investigations on swarm intelligence based algorithms for performance enhancement in grid task scheduling;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23914

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


University of Wollongong

24. Wang, Lijuan. Bio-inspired cost-aware optimization for data-intensive service provision.

Degree: Doctor of Philosophy, 2014, University of Wollongong

  The rapid proliferation of enormous sources of digital data and the development of cloud computing have led to greater dependence on data-intensive services. Each… (more)

Subjects/Keywords: data-intensive service composition; ant colony optimization algorithms; genetic algorithms; particle swarm optimization algorithms

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APA (6th Edition):

Wang, L. (2014). Bio-inspired cost-aware optimization for data-intensive service provision. (Doctoral Dissertation). University of Wollongong. Retrieved from 0806 INFORMATION SYSTEMS ; https://ro.uow.edu.au/theses/4241

Chicago Manual of Style (16th Edition):

Wang, Lijuan. “Bio-inspired cost-aware optimization for data-intensive service provision.” 2014. Doctoral Dissertation, University of Wollongong. Accessed August 08, 2020. 0806 INFORMATION SYSTEMS ; https://ro.uow.edu.au/theses/4241.

MLA Handbook (7th Edition):

Wang, Lijuan. “Bio-inspired cost-aware optimization for data-intensive service provision.” 2014. Web. 08 Aug 2020.

Vancouver:

Wang L. Bio-inspired cost-aware optimization for data-intensive service provision. [Internet] [Doctoral dissertation]. University of Wollongong; 2014. [cited 2020 Aug 08]. Available from: 0806 INFORMATION SYSTEMS ; https://ro.uow.edu.au/theses/4241.

Council of Science Editors:

Wang L. Bio-inspired cost-aware optimization for data-intensive service provision. [Doctoral Dissertation]. University of Wollongong; 2014. Available from: 0806 INFORMATION SYSTEMS ; https://ro.uow.edu.au/theses/4241

25. Amin, Saman Hameed. Optimising routing and trustworthiness of ad hoc networks using swarm intelligence.

Degree: PhD, 2014, Brunel University

 This thesis proposes different approaches to address routing and security of MANETs using swarm technology. The mobility and infrastructure-less of MANET as well as nodes… (more)

Subjects/Keywords: 006.3; River formation dynamics optimization; Ant colony optimization; Smart data packet; Routing security

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APA (6th Edition):

Amin, S. H. (2014). Optimising routing and trustworthiness of ad hoc networks using swarm intelligence. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/8248 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600501

Chicago Manual of Style (16th Edition):

Amin, Saman Hameed. “Optimising routing and trustworthiness of ad hoc networks using swarm intelligence.” 2014. Doctoral Dissertation, Brunel University. Accessed August 08, 2020. http://bura.brunel.ac.uk/handle/2438/8248 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600501.

MLA Handbook (7th Edition):

Amin, Saman Hameed. “Optimising routing and trustworthiness of ad hoc networks using swarm intelligence.” 2014. Web. 08 Aug 2020.

Vancouver:

Amin SH. Optimising routing and trustworthiness of ad hoc networks using swarm intelligence. [Internet] [Doctoral dissertation]. Brunel University; 2014. [cited 2020 Aug 08]. Available from: http://bura.brunel.ac.uk/handle/2438/8248 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600501.

Council of Science Editors:

Amin SH. Optimising routing and trustworthiness of ad hoc networks using swarm intelligence. [Doctoral Dissertation]. Brunel University; 2014. Available from: http://bura.brunel.ac.uk/handle/2438/8248 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600501


Brunel University

26. Veluscek, Marco. Global supply chain optimization : a machine learning perspective to improve caterpillar's logistics operations.

Degree: PhD, 2016, Brunel University

 Supply chain optimization is one of the key components for the effective management of a company with a complex manufacturing process and distribution network. Companies… (more)

Subjects/Keywords: 658.7; Combinatorial optimization; Artificial intelligence; Ant colony optimization; Meta-heuristics; Hyper-heuristics

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APA (6th Edition):

Veluscek, M. (2016). Global supply chain optimization : a machine learning perspective to improve caterpillar's logistics operations. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/13050 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.690880

Chicago Manual of Style (16th Edition):

Veluscek, Marco. “Global supply chain optimization : a machine learning perspective to improve caterpillar's logistics operations.” 2016. Doctoral Dissertation, Brunel University. Accessed August 08, 2020. http://bura.brunel.ac.uk/handle/2438/13050 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.690880.

MLA Handbook (7th Edition):

Veluscek, Marco. “Global supply chain optimization : a machine learning perspective to improve caterpillar's logistics operations.” 2016. Web. 08 Aug 2020.

Vancouver:

Veluscek M. Global supply chain optimization : a machine learning perspective to improve caterpillar's logistics operations. [Internet] [Doctoral dissertation]. Brunel University; 2016. [cited 2020 Aug 08]. Available from: http://bura.brunel.ac.uk/handle/2438/13050 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.690880.

Council of Science Editors:

Veluscek M. Global supply chain optimization : a machine learning perspective to improve caterpillar's logistics operations. [Doctoral Dissertation]. Brunel University; 2016. Available from: http://bura.brunel.ac.uk/handle/2438/13050 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.690880


Tampere University

27. Pellonperä, Tuomas. Ant colony optimization and the vehicle routing problem .

Degree: 2014, Tampere University

Ant Colony Optimization algorithms are swarm intelligence algorithms, and they are inspired by the behavior of real ants. They are well suited to solving computational… (more)

Subjects/Keywords: ant colony optimization; vehicle routing problem; metaheuristics; algorithms; swarm intelligence; operations research; combinatorial optimization

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APA (6th Edition):

Pellonperä, T. (2014). Ant colony optimization and the vehicle routing problem . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/95400

Chicago Manual of Style (16th Edition):

Pellonperä, Tuomas. “Ant colony optimization and the vehicle routing problem .” 2014. Masters Thesis, Tampere University. Accessed August 08, 2020. https://trepo.tuni.fi/handle/10024/95400.

MLA Handbook (7th Edition):

Pellonperä, Tuomas. “Ant colony optimization and the vehicle routing problem .” 2014. Web. 08 Aug 2020.

Vancouver:

Pellonperä T. Ant colony optimization and the vehicle routing problem . [Internet] [Masters thesis]. Tampere University; 2014. [cited 2020 Aug 08]. Available from: https://trepo.tuni.fi/handle/10024/95400.

Council of Science Editors:

Pellonperä T. Ant colony optimization and the vehicle routing problem . [Masters Thesis]. Tampere University; 2014. Available from: https://trepo.tuni.fi/handle/10024/95400

28. Kelman, Alexander. Utilizing Swarm Intelligence Algorithms for Pathfinding in Games.

Degree: Informatics, 2017, University of Skövde

  The Ant Colony Optimization and Particle Swarm Optimization are two Swarm Intelligence algorithms often utilized for optimization. Swarm Intelligence relies on agents that possess… (more)

Subjects/Keywords: Swarm Intelligence; Pathfinding; Ant Colony Optimization; Particle Swarm Optimization; A*; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Kelman, A. (2017). Utilizing Swarm Intelligence Algorithms for Pathfinding in Games. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13636

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):

Kelman, Alexander. “Utilizing Swarm Intelligence Algorithms for Pathfinding in Games.” 2017. Thesis, University of Skövde. Accessed August 08, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13636.

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

MLA Handbook (7th Edition):

Kelman, Alexander. “Utilizing Swarm Intelligence Algorithms for Pathfinding in Games.” 2017. Web. 08 Aug 2020.

Vancouver:

Kelman A. Utilizing Swarm Intelligence Algorithms for Pathfinding in Games. [Internet] [Thesis]. University of Skövde; 2017. [cited 2020 Aug 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13636.

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

Council of Science Editors:

Kelman A. Utilizing Swarm Intelligence Algorithms for Pathfinding in Games. [Thesis]. University of Skövde; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13636

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


Université de Lorraine

29. Zhao, Qiao. Conception and optimization of supercritical CO2 Brayton cycles for coal-fired power plant application : Conception et optimisation du cycle de Brayton au CO2 supercritique dans l’application des centrales à charbon.

Degree: Docteur es, Génie des procédés et des produits, 2018, Université de Lorraine

L'amélioration des systèmes énergétiques est considérée comme un levier technologique pour répondre aux défis liés à la croissance de la demande d’électricité et des émissions… (more)

Subjects/Keywords: Supercritical CO2; Cycle de Brayton; Production d'énergie; Superstructure; Optimisation; MINLP; Ant Colony Optimization; Supercritical CO2; Brayton power cycle; Superstructure; Optimization; MINLP; Ant Colony Optimization; 621.312; 660.296 9

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

APA (6th Edition):

Zhao, Q. (2018). Conception and optimization of supercritical CO2 Brayton cycles for coal-fired power plant application : Conception et optimisation du cycle de Brayton au CO2 supercritique dans l’application des centrales à charbon. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2018LORR0080

Chicago Manual of Style (16th Edition):

Zhao, Qiao. “Conception and optimization of supercritical CO2 Brayton cycles for coal-fired power plant application : Conception et optimisation du cycle de Brayton au CO2 supercritique dans l’application des centrales à charbon.” 2018. Doctoral Dissertation, Université de Lorraine. Accessed August 08, 2020. http://www.theses.fr/2018LORR0080.

MLA Handbook (7th Edition):

Zhao, Qiao. “Conception and optimization of supercritical CO2 Brayton cycles for coal-fired power plant application : Conception et optimisation du cycle de Brayton au CO2 supercritique dans l’application des centrales à charbon.” 2018. Web. 08 Aug 2020.

Vancouver:

Zhao Q. Conception and optimization of supercritical CO2 Brayton cycles for coal-fired power plant application : Conception et optimisation du cycle de Brayton au CO2 supercritique dans l’application des centrales à charbon. [Internet] [Doctoral dissertation]. Université de Lorraine; 2018. [cited 2020 Aug 08]. Available from: http://www.theses.fr/2018LORR0080.

Council of Science Editors:

Zhao Q. Conception and optimization of supercritical CO2 Brayton cycles for coal-fired power plant application : Conception et optimisation du cycle de Brayton au CO2 supercritique dans l’application des centrales à charbon. [Doctoral Dissertation]. Université de Lorraine; 2018. Available from: http://www.theses.fr/2018LORR0080


Penn State University

30. OK, CHANG-SOO. DISTRIBUTED ENERGY-BALANCED ROUTING IN WIRELESS SENSOR NETWORKS.

Degree: PhD, Industrial Engineering, 2008, Penn State University

 Wireless Sensor Networks (WSNs) are large-scale, dynamic, and limited in power. These WSNs can be used for various application areas such as military, environmental, health,… (more)

Subjects/Keywords: Wireless Sensor network; Energy Balancing; Distributed Control; Social Welfare Function; Ant Colony Optimization; Energy Cost

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

APA (6th Edition):

OK, C. (2008). DISTRIBUTED ENERGY-BALANCED ROUTING IN WIRELESS SENSOR NETWORKS. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/8520

Chicago Manual of Style (16th Edition):

OK, CHANG-SOO. “DISTRIBUTED ENERGY-BALANCED ROUTING IN WIRELESS SENSOR NETWORKS.” 2008. Doctoral Dissertation, Penn State University. Accessed August 08, 2020. https://etda.libraries.psu.edu/catalog/8520.

MLA Handbook (7th Edition):

OK, CHANG-SOO. “DISTRIBUTED ENERGY-BALANCED ROUTING IN WIRELESS SENSOR NETWORKS.” 2008. Web. 08 Aug 2020.

Vancouver:

OK C. DISTRIBUTED ENERGY-BALANCED ROUTING IN WIRELESS SENSOR NETWORKS. [Internet] [Doctoral dissertation]. Penn State University; 2008. [cited 2020 Aug 08]. Available from: https://etda.libraries.psu.edu/catalog/8520.

Council of Science Editors:

OK C. DISTRIBUTED ENERGY-BALANCED ROUTING IN WIRELESS SENSOR NETWORKS. [Doctoral Dissertation]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/8520

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