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You searched for subject:(evolutionary algorithms). Showing records 1 – 30 of 583 total matches.

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University of Georgia

1. Shi, Liang. Adaptive surrogate-assisted evolution.

Degree: PhD, Computer Science, 2008, University of Georgia

Evolutionary Algorithms (EAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to find near-optimal solutions.… (more)

Subjects/Keywords: Evolutionary algorithms

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APA (6th Edition):

Shi, L. (2008). Adaptive surrogate-assisted evolution. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/shi_liang_200812_phd

Chicago Manual of Style (16th Edition):

Shi, Liang. “Adaptive surrogate-assisted evolution.” 2008. Doctoral Dissertation, University of Georgia. Accessed August 08, 2020. http://purl.galileo.usg.edu/uga_etd/shi_liang_200812_phd.

MLA Handbook (7th Edition):

Shi, Liang. “Adaptive surrogate-assisted evolution.” 2008. Web. 08 Aug 2020.

Vancouver:

Shi L. Adaptive surrogate-assisted evolution. [Internet] [Doctoral dissertation]. University of Georgia; 2008. [cited 2020 Aug 08]. Available from: http://purl.galileo.usg.edu/uga_etd/shi_liang_200812_phd.

Council of Science Editors:

Shi L. Adaptive surrogate-assisted evolution. [Doctoral Dissertation]. University of Georgia; 2008. Available from: http://purl.galileo.usg.edu/uga_etd/shi_liang_200812_phd


Wake Forest University

2. Seal, Scott. Optimzing Web Application Fuzzing with Genetic Algorithms and Language Theory.

Degree: 2016, Wake Forest University

 The widespread availability and use of computing and internet resources require soft- ware developers to implement secure development standards and rigorous testing to prevent vulnerabilities.… (more)

Subjects/Keywords: evolutionary algorithms

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APA (6th Edition):

Seal, S. (2016). Optimzing Web Application Fuzzing with Genetic Algorithms and Language Theory. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/59321

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):

Seal, Scott. “Optimzing Web Application Fuzzing with Genetic Algorithms and Language Theory.” 2016. Thesis, Wake Forest University. Accessed August 08, 2020. http://hdl.handle.net/10339/59321.

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

MLA Handbook (7th Edition):

Seal, Scott. “Optimzing Web Application Fuzzing with Genetic Algorithms and Language Theory.” 2016. Web. 08 Aug 2020.

Vancouver:

Seal S. Optimzing Web Application Fuzzing with Genetic Algorithms and Language Theory. [Internet] [Thesis]. Wake Forest University; 2016. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10339/59321.

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

Council of Science Editors:

Seal S. Optimzing Web Application Fuzzing with Genetic Algorithms and Language Theory. [Thesis]. Wake Forest University; 2016. Available from: http://hdl.handle.net/10339/59321

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


Delft University of Technology

3. Olieman, Chantal (author). Fitness-based Linkage Learning in the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm.

Degree: 2019, Delft University of Technology

The recently introduced Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm (RV-GOMEA) has been shown to be among the state-of-the-art for solving grey-box optimization problems where partial… (more)

Subjects/Keywords: Evolutionary Algorithms; Algorithm; Evolutionary computation; Linkage

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APA (6th Edition):

Olieman, C. (. (2019). Fitness-based Linkage Learning in the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6df1f184-e268-4c01-9074-557a17f855a5

Chicago Manual of Style (16th Edition):

Olieman, Chantal (author). “Fitness-based Linkage Learning in the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm.” 2019. Masters Thesis, Delft University of Technology. Accessed August 08, 2020. http://resolver.tudelft.nl/uuid:6df1f184-e268-4c01-9074-557a17f855a5.

MLA Handbook (7th Edition):

Olieman, Chantal (author). “Fitness-based Linkage Learning in the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm.” 2019. Web. 08 Aug 2020.

Vancouver:

Olieman C(. Fitness-based Linkage Learning in the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Aug 08]. Available from: http://resolver.tudelft.nl/uuid:6df1f184-e268-4c01-9074-557a17f855a5.

Council of Science Editors:

Olieman C(. Fitness-based Linkage Learning in the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:6df1f184-e268-4c01-9074-557a17f855a5


Open Universiteit Nederland

4. Bronswijk, José. Flexible scheduling: using evolutionary algorithms .

Degree: 2011, Open Universiteit Nederland

in this thesis an evolutionary algorithm is applied to solve a real-world staff scheduling problem at museum Beelden aan Zee. It is examined how EAs can be used as a technique for solving optimisation problems which have very large search spaces.

Subjects/Keywords: flexible scheduling; evolutionary algorithms

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APA (6th Edition):

Bronswijk, J. (2011). Flexible scheduling: using evolutionary algorithms . (Masters Thesis). Open Universiteit Nederland. Retrieved from http://hdl.handle.net/1820/3625

Chicago Manual of Style (16th Edition):

Bronswijk, José. “Flexible scheduling: using evolutionary algorithms .” 2011. Masters Thesis, Open Universiteit Nederland. Accessed August 08, 2020. http://hdl.handle.net/1820/3625.

MLA Handbook (7th Edition):

Bronswijk, José. “Flexible scheduling: using evolutionary algorithms .” 2011. Web. 08 Aug 2020.

Vancouver:

Bronswijk J. Flexible scheduling: using evolutionary algorithms . [Internet] [Masters thesis]. Open Universiteit Nederland; 2011. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1820/3625.

Council of Science Editors:

Bronswijk J. Flexible scheduling: using evolutionary algorithms . [Masters Thesis]. Open Universiteit Nederland; 2011. Available from: http://hdl.handle.net/1820/3625


Oklahoma State University

5. He, Zhenan. Performance Metrics Ensemble for Multiobjective Evolutionary Algorithms.

Degree: School of Electrical & Computer Engineering, 2011, Oklahoma State University

 There are five types of unary performance metrics and two types of binary performance metrics. However, no single metric can faithfully measure MOEA performance. Moreover,… (more)

Subjects/Keywords: evolutionary algorithms; performance metrics ensemble

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APA (6th Edition):

He, Z. (2011). Performance Metrics Ensemble for Multiobjective Evolutionary Algorithms. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/10212

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):

He, Zhenan. “Performance Metrics Ensemble for Multiobjective Evolutionary Algorithms.” 2011. Thesis, Oklahoma State University. Accessed August 08, 2020. http://hdl.handle.net/11244/10212.

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

MLA Handbook (7th Edition):

He, Zhenan. “Performance Metrics Ensemble for Multiobjective Evolutionary Algorithms.” 2011. Web. 08 Aug 2020.

Vancouver:

He Z. Performance Metrics Ensemble for Multiobjective Evolutionary Algorithms. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/11244/10212.

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

Council of Science Editors:

He Z. Performance Metrics Ensemble for Multiobjective Evolutionary Algorithms. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/10212

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


University of Oklahoma

6. Carlson, Benjamin. Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms.

Degree: PhD, 2016, University of Oklahoma

 Many approaches to applying Genetic Algorithms (GAs) to Nondeterministic Polynomial time Complete (NPC) problems involve population members encoded directly from the problem solution space. While… (more)

Subjects/Keywords: Heuristics; Genetic Algorithms; Evolutionary Computation

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APA (6th Edition):

Carlson, B. (2016). Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/34654

Chicago Manual of Style (16th Edition):

Carlson, Benjamin. “Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed August 08, 2020. http://hdl.handle.net/11244/34654.

MLA Handbook (7th Edition):

Carlson, Benjamin. “Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms.” 2016. Web. 08 Aug 2020.

Vancouver:

Carlson B. Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/11244/34654.

Council of Science Editors:

Carlson B. Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/34654


Delft University of Technology

7. den Toom, Matthijs (author). Evolving State Machines as Robot Controllers.

Degree: 2019, Delft University of Technology

Automated generation of robot controllers using an Evolutionary Algorithm(EA) has received increasing attention in the last years as it has the potentialfor a reduction in… (more)

Subjects/Keywords: Evolutionary Algorithms; State machines

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APA (6th Edition):

den Toom, M. (. (2019). Evolving State Machines as Robot Controllers. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5961f14d-8d3e-4be6-b127-010a20f8b044

Chicago Manual of Style (16th Edition):

den Toom, Matthijs (author). “Evolving State Machines as Robot Controllers.” 2019. Masters Thesis, Delft University of Technology. Accessed August 08, 2020. http://resolver.tudelft.nl/uuid:5961f14d-8d3e-4be6-b127-010a20f8b044.

MLA Handbook (7th Edition):

den Toom, Matthijs (author). “Evolving State Machines as Robot Controllers.” 2019. Web. 08 Aug 2020.

Vancouver:

den Toom M(. Evolving State Machines as Robot Controllers. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Aug 08]. Available from: http://resolver.tudelft.nl/uuid:5961f14d-8d3e-4be6-b127-010a20f8b044.

Council of Science Editors:

den Toom M(. Evolving State Machines as Robot Controllers. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:5961f14d-8d3e-4be6-b127-010a20f8b044


Delft University of Technology

8. Oudshoorn, Menno (author). Solving a real-world rail maintenance scheduling problem.

Degree: 2019, Delft University of Technology

The rail network in the Netherlands is one of the busiest in Europe. To ensure a safe and reliable infrastructure, preventive maintenance is of utmost… (more)

Subjects/Keywords: Scheduling; Railway Maintenance; Evolutionary Algorithms

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APA (6th Edition):

Oudshoorn, M. (. (2019). Solving a real-world rail maintenance scheduling problem. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:95e95789-19d9-4c86-b386-00f147306bbe

Chicago Manual of Style (16th Edition):

Oudshoorn, Menno (author). “Solving a real-world rail maintenance scheduling problem.” 2019. Masters Thesis, Delft University of Technology. Accessed August 08, 2020. http://resolver.tudelft.nl/uuid:95e95789-19d9-4c86-b386-00f147306bbe.

MLA Handbook (7th Edition):

Oudshoorn, Menno (author). “Solving a real-world rail maintenance scheduling problem.” 2019. Web. 08 Aug 2020.

Vancouver:

Oudshoorn M(. Solving a real-world rail maintenance scheduling problem. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Aug 08]. Available from: http://resolver.tudelft.nl/uuid:95e95789-19d9-4c86-b386-00f147306bbe.

Council of Science Editors:

Oudshoorn M(. Solving a real-world rail maintenance scheduling problem. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:95e95789-19d9-4c86-b386-00f147306bbe


Penn State University

9. Sottile, Bradley Joseph. Evolutionary Computation for Spacecraft Trajectory Optimization.

Degree: MS, Aerospace Engineering, 2013, Penn State University

Evolutionary Computation has exploded in use in engineering and the applied sciences. For this thesis, three algorithms – Particle Swarm Optimization (PSO), Bacteria Foraging Optimization… (more)

Subjects/Keywords: Astrodynamics; Evolutionary Algorithms; Evolutionary Computation; Evolutionary Strategies; Optimization; Spacecraft Trajectory

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APA (6th Edition):

Sottile, B. J. (2013). Evolutionary Computation for Spacecraft Trajectory Optimization. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/19135

Chicago Manual of Style (16th Edition):

Sottile, Bradley Joseph. “Evolutionary Computation for Spacecraft Trajectory Optimization.” 2013. Masters Thesis, Penn State University. Accessed August 08, 2020. https://etda.libraries.psu.edu/catalog/19135.

MLA Handbook (7th Edition):

Sottile, Bradley Joseph. “Evolutionary Computation for Spacecraft Trajectory Optimization.” 2013. Web. 08 Aug 2020.

Vancouver:

Sottile BJ. Evolutionary Computation for Spacecraft Trajectory Optimization. [Internet] [Masters thesis]. Penn State University; 2013. [cited 2020 Aug 08]. Available from: https://etda.libraries.psu.edu/catalog/19135.

Council of Science Editors:

Sottile BJ. Evolutionary Computation for Spacecraft Trajectory Optimization. [Masters Thesis]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/19135


Anna University

10. Manoharan P S. Investigating the performance of evolutionary algorithms on power dispatch with optimality verification;.

Degree: Investigating the performance of evolutionary algorithms on power dispatch with optimality verification, 2015, Anna University

Optimal power dispatch represents one of the most important newlineproblems in the solution of the real and reactive power dispatch problem newlineIn general these problems… (more)

Subjects/Keywords: electrical engineering; evolutionary algorithms; optimality verification

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APA (6th Edition):

S, M. P. (2015). Investigating the performance of evolutionary algorithms on power dispatch with optimality verification;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/41926

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):

S, Manoharan P. “Investigating the performance of evolutionary algorithms on power dispatch with optimality verification;.” 2015. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/41926.

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

MLA Handbook (7th Edition):

S, Manoharan P. “Investigating the performance of evolutionary algorithms on power dispatch with optimality verification;.” 2015. Web. 08 Aug 2020.

Vancouver:

S MP. Investigating the performance of evolutionary algorithms on power dispatch with optimality verification;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/41926.

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

Council of Science Editors:

S MP. Investigating the performance of evolutionary algorithms on power dispatch with optimality verification;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/41926

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

11. Brameier, Markus. On linear genetic programming.

Degree: 2004, Universität Dortmund

 The thesis is about linear genetic programming (LGP), a machine learning approach that evolves computer programs as sequences of imperative instructions. Two fundamental differences to… (more)

Subjects/Keywords: Evolutionary algorithms; Genetic programming; Machine learning; 004

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

APA (6th Edition):

Brameier, M. (2004). On linear genetic programming. (Thesis). Universität Dortmund. Retrieved from http://hdl.handle.net/2003/20098

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):

Brameier, Markus. “On linear genetic programming.” 2004. Thesis, Universität Dortmund. Accessed August 08, 2020. http://hdl.handle.net/2003/20098.

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

MLA Handbook (7th Edition):

Brameier, Markus. “On linear genetic programming.” 2004. Web. 08 Aug 2020.

Vancouver:

Brameier M. On linear genetic programming. [Internet] [Thesis]. Universität Dortmund; 2004. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/2003/20098.

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

Council of Science Editors:

Brameier M. On linear genetic programming. [Thesis]. Universität Dortmund; 2004. Available from: http://hdl.handle.net/2003/20098

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


Penn State University

12. Sah, Navdha. Clustering Using Differential Evolution.

Degree: MS, Computer Science, 2016, Penn State University

 In the past few decades, clustering or cluster analysis has emerged as an essential tool in several fields to help find conceptually meaningful groups of… (more)

Subjects/Keywords: clustering; differential evolution; evolutionary algorithms; genetic algorithm

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

APA (6th Edition):

Sah, N. (2016). Clustering Using Differential Evolution. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/12405nxs328

Chicago Manual of Style (16th Edition):

Sah, Navdha. “Clustering Using Differential Evolution.” 2016. Masters Thesis, Penn State University. Accessed August 08, 2020. https://etda.libraries.psu.edu/catalog/12405nxs328.

MLA Handbook (7th Edition):

Sah, Navdha. “Clustering Using Differential Evolution.” 2016. Web. 08 Aug 2020.

Vancouver:

Sah N. Clustering Using Differential Evolution. [Internet] [Masters thesis]. Penn State University; 2016. [cited 2020 Aug 08]. Available from: https://etda.libraries.psu.edu/catalog/12405nxs328.

Council of Science Editors:

Sah N. Clustering Using Differential Evolution. [Masters Thesis]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/12405nxs328


Anna University

13. Ganesan H. A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;.

Degree: process parameters in turning process using evolutionary algorithms, 2014, Anna University

Economy of machinery operation plays a key role in competitiveness in newlinethe market In a manufacturing industry machining process is to shape the newlinemetal parts… (more)

Subjects/Keywords: evolutionary algorithms; mechanical engineering; multi objective optimization

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APA (6th Edition):

H, G. (2014). A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26237

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):

H, Ganesan. “A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;.” 2014. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/26237.

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

MLA Handbook (7th Edition):

H, Ganesan. “A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;.” 2014. Web. 08 Aug 2020.

Vancouver:

H G. A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26237.

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

Council of Science Editors:

H G. A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26237

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


Anna University

14. Prasanna T S. Optimal power scheduling of multiarea power systems using fuzzy evolutionary algorithms;.

Degree: Optimal power scheduling of multiarea power systems using fuzzy evolutionary algorithms, 2014, Anna University

The main objective of this research is to develop fuzzified newlineevolutionary algorithms for solving various practical power system problems newlineAlgorithms are developed with an emphasis… (more)

Subjects/Keywords: electrical engineering; evolutionary algorithms; Optimal power

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APA (6th Edition):

S, P. T. (2014). Optimal power scheduling of multiarea power systems using fuzzy evolutionary algorithms;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/31341

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):

S, Prasanna T. “Optimal power scheduling of multiarea power systems using fuzzy evolutionary algorithms;.” 2014. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/31341.

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

MLA Handbook (7th Edition):

S, Prasanna T. “Optimal power scheduling of multiarea power systems using fuzzy evolutionary algorithms;.” 2014. Web. 08 Aug 2020.

Vancouver:

S PT. Optimal power scheduling of multiarea power systems using fuzzy evolutionary algorithms;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/31341.

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

Council of Science Editors:

S PT. Optimal power scheduling of multiarea power systems using fuzzy evolutionary algorithms;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/31341

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


Anna University

15. Willjuice iruthayarajan M. Tuning of multivariable pid controller using evolutionary algorithms;.

Degree: Tuning of multivariable pid controller using evolutionary algorithms, 2015, Anna University

In process industries most of the problems are multivariable in newlinenature The tuning of controller for the multivariable system is really newlinechallenging due to the… (more)

Subjects/Keywords: electrical engineering; evolutionary algorithms; pid controller

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APA (6th Edition):

M, W. i. (2015). Tuning of multivariable pid controller using evolutionary algorithms;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/33603

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, Willjuice iruthayarajan. “Tuning of multivariable pid controller using evolutionary algorithms;.” 2015. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/33603.

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

MLA Handbook (7th Edition):

M, Willjuice iruthayarajan. “Tuning of multivariable pid controller using evolutionary algorithms;.” 2015. Web. 08 Aug 2020.

Vancouver:

M Wi. Tuning of multivariable pid controller using evolutionary algorithms;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33603.

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

Council of Science Editors:

M Wi. Tuning of multivariable pid controller using evolutionary algorithms;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33603

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


Anna University

16. Ramesh S. Application and comparison of Multi objective evolutionary algorithms to reactive power planning and dispatch problems;.

Degree: Multi objective evolutionary algorithms to reactive power planning and dispatch problems, 2014, Anna University

In an integrated power system the voltage level of the system has newlineto be maintained within the prescribed limits for satisfactory operation The newlinevoltage is… (more)

Subjects/Keywords: electrical engineering; evolutionary algorithms; power planning

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APA (6th Edition):

S, R. (2014). Application and comparison of Multi objective evolutionary algorithms to reactive power planning and dispatch problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24220

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):

S, Ramesh. “Application and comparison of Multi objective evolutionary algorithms to reactive power planning and dispatch problems;.” 2014. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/24220.

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

MLA Handbook (7th Edition):

S, Ramesh. “Application and comparison of Multi objective evolutionary algorithms to reactive power planning and dispatch problems;.” 2014. Web. 08 Aug 2020.

Vancouver:

S R. Application and comparison of Multi objective evolutionary algorithms to reactive power planning and dispatch problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24220.

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

Council of Science Editors:

S R. Application and comparison of Multi objective evolutionary algorithms to reactive power planning and dispatch problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24220

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


Anna University

17. Sivananaithaperumal S. Evolutionary algorithms based controller design for industrial applications;.

Degree: Evolutionary algorithms based controller design, 2014, Anna University

A controller is a device which monitors and affects the operational newlineconditions of a dynamic system In process industries most of the problems newlineare multivariable… (more)

Subjects/Keywords: controller design; electrical engineering; Evolutionary algorithms

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APA (6th Edition):

S, S. (2014). Evolutionary algorithms based controller design for industrial applications;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24483

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):

S, Sivananaithaperumal. “Evolutionary algorithms based controller design for industrial applications;.” 2014. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/24483.

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

MLA Handbook (7th Edition):

S, Sivananaithaperumal. “Evolutionary algorithms based controller design for industrial applications;.” 2014. Web. 08 Aug 2020.

Vancouver:

S S. Evolutionary algorithms based controller design for industrial applications;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24483.

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

Council of Science Editors:

S S. Evolutionary algorithms based controller design for industrial applications;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24483

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


Anna University

18. Jegathesan V. Solution to eliminate the lower order harmonics in vsi using evolutionary algorithms;.

Degree: Solution to eliminate the lower order harmonics in vsi using evolutionary algorithms, 2015, Anna University

Harmonics are destructive phenomenon in power systems These newlineharmonic currents cause extra losses in the loads which in turn require newlinederating of the load The… (more)

Subjects/Keywords: electrical engineering; evolutionary algorithms; harmonics in vsi

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APA (6th Edition):

V, J. (2015). Solution to eliminate the lower order harmonics in vsi using evolutionary algorithms;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/44192

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):

V, Jegathesan. “Solution to eliminate the lower order harmonics in vsi using evolutionary algorithms;.” 2015. Thesis, Anna University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/44192.

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

MLA Handbook (7th Edition):

V, Jegathesan. “Solution to eliminate the lower order harmonics in vsi using evolutionary algorithms;.” 2015. Web. 08 Aug 2020.

Vancouver:

V J. Solution to eliminate the lower order harmonics in vsi using evolutionary algorithms;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/44192.

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

Council of Science Editors:

V J. Solution to eliminate the lower order harmonics in vsi using evolutionary algorithms;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/44192

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


Massey University

19. Ter-Sarkisov, Aram. Computational complexity of elitist population-based evolutionary algorithms.

Degree: PhD, Computer Science, 2012, Massey University

Evolutionary Algorithms (EAs) are a modern heuristic algorithm that have proven efficiency on a large number of real-life problems. Despite the rich history of applications… (more)

Subjects/Keywords: Genetic algorithms; Evolutionary programming; Computer science

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APA (6th Edition):

Ter-Sarkisov, A. (2012). Computational complexity of elitist population-based evolutionary algorithms. (Doctoral Dissertation). Massey University. Retrieved from http://hdl.handle.net/10179/4109

Chicago Manual of Style (16th Edition):

Ter-Sarkisov, Aram. “Computational complexity of elitist population-based evolutionary algorithms.” 2012. Doctoral Dissertation, Massey University. Accessed August 08, 2020. http://hdl.handle.net/10179/4109.

MLA Handbook (7th Edition):

Ter-Sarkisov, Aram. “Computational complexity of elitist population-based evolutionary algorithms.” 2012. Web. 08 Aug 2020.

Vancouver:

Ter-Sarkisov A. Computational complexity of elitist population-based evolutionary algorithms. [Internet] [Doctoral dissertation]. Massey University; 2012. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10179/4109.

Council of Science Editors:

Ter-Sarkisov A. Computational complexity of elitist population-based evolutionary algorithms. [Doctoral Dissertation]. Massey University; 2012. Available from: http://hdl.handle.net/10179/4109


University of Adelaide

20. Ibrahimov, Maksud. Evolutionary algorithms for supply chain optimisation.

Degree: 2012, University of Adelaide

 Many real-world problems can be modelled as a combination of several interacting components. Methods based on Evolutionary Algorithms seem to be appropriate for handling such… (more)

Subjects/Keywords: evolutionary algorithms; supply chain optimisation; global optimisation

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

APA (6th Edition):

Ibrahimov, M. (2012). Evolutionary algorithms for supply chain optimisation. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/80569

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):

Ibrahimov, Maksud. “Evolutionary algorithms for supply chain optimisation.” 2012. Thesis, University of Adelaide. Accessed August 08, 2020. http://hdl.handle.net/2440/80569.

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

MLA Handbook (7th Edition):

Ibrahimov, Maksud. “Evolutionary algorithms for supply chain optimisation.” 2012. Web. 08 Aug 2020.

Vancouver:

Ibrahimov M. Evolutionary algorithms for supply chain optimisation. [Internet] [Thesis]. University of Adelaide; 2012. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/2440/80569.

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

Council of Science Editors:

Ibrahimov M. Evolutionary algorithms for supply chain optimisation. [Thesis]. University of Adelaide; 2012. Available from: http://hdl.handle.net/2440/80569

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


University of Sydney

21. Amiri, Babak. Evolutionary Algorithms for Community Detection in Complex Networks .

Degree: 2013, University of Sydney

 In recent years there has been a surge of community detection study of complex network analysis, since communities often play important roles in network systems.… (more)

Subjects/Keywords: Community Detection; Evolutionary Algorithms; Modularity; Social Networks

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APA (6th Edition):

Amiri, B. (2013). Evolutionary Algorithms for Community Detection in Complex Networks . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/10451

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):

Amiri, Babak. “Evolutionary Algorithms for Community Detection in Complex Networks .” 2013. Thesis, University of Sydney. Accessed August 08, 2020. http://hdl.handle.net/2123/10451.

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

MLA Handbook (7th Edition):

Amiri, Babak. “Evolutionary Algorithms for Community Detection in Complex Networks .” 2013. Web. 08 Aug 2020.

Vancouver:

Amiri B. Evolutionary Algorithms for Community Detection in Complex Networks . [Internet] [Thesis]. University of Sydney; 2013. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/2123/10451.

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

Council of Science Editors:

Amiri B. Evolutionary Algorithms for Community Detection in Complex Networks . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/10451

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


Hong Kong University of Science and Technology

22. Zhao, Shenyang. Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming.

Degree: 2011, Hong Kong University of Science and Technology

 By dividing the solution space into several subspaces and performing search restricted to individual subspace has the advantage that effort in one subspace will not… (more)

Subjects/Keywords: Genetic algorithms ; Programming (Mathematics) ; Evolutionary computation

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APA (6th Edition):

Zhao, S. (2011). Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7159 ; https://doi.org/10.14711/thesis-b1136617 ; http://repository.ust.hk/ir/bitstream/1783.1-7159/1/th_redirect.html

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):

Zhao, Shenyang. “Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed August 08, 2020. http://repository.ust.hk/ir/Record/1783.1-7159 ; https://doi.org/10.14711/thesis-b1136617 ; http://repository.ust.hk/ir/bitstream/1783.1-7159/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Zhao, Shenyang. “Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming.” 2011. Web. 08 Aug 2020.

Vancouver:

Zhao S. Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2020 Aug 08]. Available from: http://repository.ust.hk/ir/Record/1783.1-7159 ; https://doi.org/10.14711/thesis-b1136617 ; http://repository.ust.hk/ir/bitstream/1783.1-7159/1/th_redirect.html.

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

Council of Science Editors:

Zhao S. Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: http://repository.ust.hk/ir/Record/1783.1-7159 ; https://doi.org/10.14711/thesis-b1136617 ; http://repository.ust.hk/ir/bitstream/1783.1-7159/1/th_redirect.html

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


University of Missouri – Columbia

23. Chen, Yan. Multi-dimensional scaling and MODELLER based evolutionary algorithms for protein model refinement.

Degree: 2013, University of Missouri – Columbia

 To computationally obtain an accurate prediction of the three-dimensional structure of a protein from its primary sequence is one of the most important problems in… (more)

Subjects/Keywords: Proteins  – Analysis; Algorithms; Computational biology; Evolutionary computation

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APA (6th Edition):

Chen, Y. (2013). Multi-dimensional scaling and MODELLER based evolutionary algorithms for protein model refinement. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/43046

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):

Chen, Yan. “Multi-dimensional scaling and MODELLER based evolutionary algorithms for protein model refinement.” 2013. Thesis, University of Missouri – Columbia. Accessed August 08, 2020. https://doi.org/10.32469/10355/43046.

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

MLA Handbook (7th Edition):

Chen, Yan. “Multi-dimensional scaling and MODELLER based evolutionary algorithms for protein model refinement.” 2013. Web. 08 Aug 2020.

Vancouver:

Chen Y. Multi-dimensional scaling and MODELLER based evolutionary algorithms for protein model refinement. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2020 Aug 08]. Available from: https://doi.org/10.32469/10355/43046.

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

Council of Science Editors:

Chen Y. Multi-dimensional scaling and MODELLER based evolutionary algorithms for protein model refinement. [Thesis]. University of Missouri – Columbia; 2013. Available from: https://doi.org/10.32469/10355/43046

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


Delft University of Technology

24. Chatxikonstantinou, I. (author). Evolutionary Computation and Parametric Pattern Generation for Airport Terminal Design.

Degree: 2011, Delft University of Technology

It is without doubt that airport terminals are some of the most com- plex building types in existence. Their scale, the nature of their func-… (more)

Subjects/Keywords: evolutionary algorithms; airport layout; grasshopper; parametric design

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APA (6th Edition):

Chatxikonstantinou, I. (. (2011). Evolutionary Computation and Parametric Pattern Generation for Airport Terminal Design. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:78ae579b-0c3a-424e-981b-b2227a2be058

Chicago Manual of Style (16th Edition):

Chatxikonstantinou, I (author). “Evolutionary Computation and Parametric Pattern Generation for Airport Terminal Design.” 2011. Masters Thesis, Delft University of Technology. Accessed August 08, 2020. http://resolver.tudelft.nl/uuid:78ae579b-0c3a-424e-981b-b2227a2be058.

MLA Handbook (7th Edition):

Chatxikonstantinou, I (author). “Evolutionary Computation and Parametric Pattern Generation for Airport Terminal Design.” 2011. Web. 08 Aug 2020.

Vancouver:

Chatxikonstantinou I(. Evolutionary Computation and Parametric Pattern Generation for Airport Terminal Design. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2020 Aug 08]. Available from: http://resolver.tudelft.nl/uuid:78ae579b-0c3a-424e-981b-b2227a2be058.

Council of Science Editors:

Chatxikonstantinou I(. Evolutionary Computation and Parametric Pattern Generation for Airport Terminal Design. [Masters Thesis]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:78ae579b-0c3a-424e-981b-b2227a2be058


Delft University of Technology

25. Bouter, P.A. (author). Designing the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm and Applying it to Substantially Improve the Efficiency of Multi-Objective Deformable Image Registration.

Degree: 2016, Delft University of Technology

The recently introduced Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) for discrete variables has been shown to be able to efficiently and effectively exploit the decomposability… (more)

Subjects/Keywords: optimal mixing; evolutionary algorithms; deformable image registration

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APA (6th Edition):

Bouter, P. A. (. (2016). Designing the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm and Applying it to Substantially Improve the Efficiency of Multi-Objective Deformable Image Registration. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c6eeb03d-2681-46b6-a12a-58433eddd3a2

Chicago Manual of Style (16th Edition):

Bouter, P A (author). “Designing the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm and Applying it to Substantially Improve the Efficiency of Multi-Objective Deformable Image Registration.” 2016. Masters Thesis, Delft University of Technology. Accessed August 08, 2020. http://resolver.tudelft.nl/uuid:c6eeb03d-2681-46b6-a12a-58433eddd3a2.

MLA Handbook (7th Edition):

Bouter, P A (author). “Designing the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm and Applying it to Substantially Improve the Efficiency of Multi-Objective Deformable Image Registration.” 2016. Web. 08 Aug 2020.

Vancouver:

Bouter PA(. Designing the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm and Applying it to Substantially Improve the Efficiency of Multi-Objective Deformable Image Registration. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2020 Aug 08]. Available from: http://resolver.tudelft.nl/uuid:c6eeb03d-2681-46b6-a12a-58433eddd3a2.

Council of Science Editors:

Bouter PA(. Designing the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm and Applying it to Substantially Improve the Efficiency of Multi-Objective Deformable Image Registration. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:c6eeb03d-2681-46b6-a12a-58433eddd3a2


University of Hong Kong

26. 宋博. Theoretical analysis and approximation of infinite population models for evolutionary algorithms.

Degree: 2015, University of Hong Kong

Evolutionary algorithms are general purpose optimization algorithms. Despite their successes in many real-world applications, the theoretical analyses of the underlying evolutionary processes and of the… (more)

Subjects/Keywords: Evolutionary computation; Algorithms

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APA (6th Edition):

宋博. (2015). Theoretical analysis and approximation of infinite population models for evolutionary algorithms. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/216256

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

Chicago Manual of Style (16th Edition):

宋博. “Theoretical analysis and approximation of infinite population models for evolutionary algorithms.” 2015. Thesis, University of Hong Kong. Accessed August 08, 2020. http://hdl.handle.net/10722/216256.

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

MLA Handbook (7th Edition):

宋博. “Theoretical analysis and approximation of infinite population models for evolutionary algorithms.” 2015. Web. 08 Aug 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

宋博. Theoretical analysis and approximation of infinite population models for evolutionary algorithms. [Internet] [Thesis]. University of Hong Kong; 2015. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10722/216256.

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

Council of Science Editors:

宋博. Theoretical analysis and approximation of infinite population models for evolutionary algorithms. [Thesis]. University of Hong Kong; 2015. Available from: http://hdl.handle.net/10722/216256

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


University of Hong Kong

27. 孙熠. A study of the initialization stage for evolutionary algorithms with limited computational resources : application, resource allocation, and classification.

Degree: 2016, University of Hong Kong

 This work studies the initialization procedure of Evolutionary Algorithms (EAs) under computational expensive environment. EAs mimics the natural evolution process in which solutions evolve from… (more)

Subjects/Keywords: Evolutionary computation; Algorithms

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APA (6th Edition):

孙熠. (2016). A study of the initialization stage for evolutionary algorithms with limited computational resources : application, resource allocation, and classification. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/235902

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

Chicago Manual of Style (16th Edition):

孙熠. “A study of the initialization stage for evolutionary algorithms with limited computational resources : application, resource allocation, and classification.” 2016. Thesis, University of Hong Kong. Accessed August 08, 2020. http://hdl.handle.net/10722/235902.

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

MLA Handbook (7th Edition):

孙熠. “A study of the initialization stage for evolutionary algorithms with limited computational resources : application, resource allocation, and classification.” 2016. Web. 08 Aug 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

孙熠. A study of the initialization stage for evolutionary algorithms with limited computational resources : application, resource allocation, and classification. [Internet] [Thesis]. University of Hong Kong; 2016. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10722/235902.

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

Council of Science Editors:

孙熠. A study of the initialization stage for evolutionary algorithms with limited computational resources : application, resource allocation, and classification. [Thesis]. University of Hong Kong; 2016. Available from: http://hdl.handle.net/10722/235902

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


Syracuse University

28. Kuber, Karthik. Network Theoretic Analyses and Enhancements of Evolutionary Algorithms.

Degree: PhD, Electrical Engineering and Computer Science, 2014, Syracuse University

  Information in evolutionary algorithms is available at multiple levels; however most analyses focus on the individual level. This dissertation extracts useful information from networks… (more)

Subjects/Keywords: Artificial Intelligence; Evolutionary Algorithms; Evolutionary Computation; Genetic Algorithms; Learning Classifier Systems; Network Science; Engineering

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

APA (6th Edition):

Kuber, K. (2014). Network Theoretic Analyses and Enhancements of Evolutionary Algorithms. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/etd/125

Chicago Manual of Style (16th Edition):

Kuber, Karthik. “Network Theoretic Analyses and Enhancements of Evolutionary Algorithms.” 2014. Doctoral Dissertation, Syracuse University. Accessed August 08, 2020. https://surface.syr.edu/etd/125.

MLA Handbook (7th Edition):

Kuber, Karthik. “Network Theoretic Analyses and Enhancements of Evolutionary Algorithms.” 2014. Web. 08 Aug 2020.

Vancouver:

Kuber K. Network Theoretic Analyses and Enhancements of Evolutionary Algorithms. [Internet] [Doctoral dissertation]. Syracuse University; 2014. [cited 2020 Aug 08]. Available from: https://surface.syr.edu/etd/125.

Council of Science Editors:

Kuber K. Network Theoretic Analyses and Enhancements of Evolutionary Algorithms. [Doctoral Dissertation]. Syracuse University; 2014. Available from: https://surface.syr.edu/etd/125


Wright State University

29. Schwartz, Bonnie Jo. An Evolutionary Programming Algorithm for Automatic Chromatogram Alignment.

Degree: MSCE, Computer Engineering, 2007, Wright State University

  Scientists use liquid chromatography/mass spectrometry (LC/MS) instruments to measure metabolic responses to external stimuli. The data from these instruments can be distorted due to… (more)

Subjects/Keywords: Computer Science; evolutionary algorithms; evolutionary programming; chromatogram alignment; image registration

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APA (6th Edition):

Schwartz, B. J. (2007). An Evolutionary Programming Algorithm for Automatic Chromatogram Alignment. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1175715183

Chicago Manual of Style (16th Edition):

Schwartz, Bonnie Jo. “An Evolutionary Programming Algorithm for Automatic Chromatogram Alignment.” 2007. Masters Thesis, Wright State University. Accessed August 08, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1175715183.

MLA Handbook (7th Edition):

Schwartz, Bonnie Jo. “An Evolutionary Programming Algorithm for Automatic Chromatogram Alignment.” 2007. Web. 08 Aug 2020.

Vancouver:

Schwartz BJ. An Evolutionary Programming Algorithm for Automatic Chromatogram Alignment. [Internet] [Masters thesis]. Wright State University; 2007. [cited 2020 Aug 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1175715183.

Council of Science Editors:

Schwartz BJ. An Evolutionary Programming Algorithm for Automatic Chromatogram Alignment. [Masters Thesis]. Wright State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1175715183


Macquarie University

30. Zhou, Jie. Research on key technologies in wireless communications based on evolutionary algorithms.

Degree: 2015, Macquarie University

Empirical thesis.

Bibliography: pages 175-193.

1. Introduction  – 2. Methodology and literature review  – 3. A modified shuffled frog leaping algorithm for PAPR reduction in… (more)

Subjects/Keywords: Wireless sensor networks; Evolutionary computation; wireless communication; evolutionary algorithms; artificial intelligence

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APA (6th Edition):

Zhou, J. (2015). Research on key technologies in wireless communications based on evolutionary algorithms. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/1167017

Chicago Manual of Style (16th Edition):

Zhou, Jie. “Research on key technologies in wireless communications based on evolutionary algorithms.” 2015. Doctoral Dissertation, Macquarie University. Accessed August 08, 2020. http://hdl.handle.net/1959.14/1167017.

MLA Handbook (7th Edition):

Zhou, Jie. “Research on key technologies in wireless communications based on evolutionary algorithms.” 2015. Web. 08 Aug 2020.

Vancouver:

Zhou J. Research on key technologies in wireless communications based on evolutionary algorithms. [Internet] [Doctoral dissertation]. Macquarie University; 2015. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1959.14/1167017.

Council of Science Editors:

Zhou J. Research on key technologies in wireless communications based on evolutionary algorithms. [Doctoral Dissertation]. Macquarie University; 2015. Available from: http://hdl.handle.net/1959.14/1167017

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