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You searched for subject:(Evolutionary computation). Showing records 1 – 30 of 333 total matches.

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Anna University

1. Agees kumar C. Application of evolutionary computation techniques to multiobjective cascade control system design;.

Degree: evolutionary computation techniques to multiobjective cascade control system design, 2014, Anna University

Cascade control systems are widely employed in most of the process newlineindustries involving multiple loops where inner loop disturbances are newlinepredominant Tuning of primary and… (more)

Subjects/Keywords: computation; evolutionary

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

APA (6th Edition):

C, A. k. (2014). Application of evolutionary computation techniques to multiobjective cascade control system design;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/22981

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, Agees kumar. “Application of evolutionary computation techniques to multiobjective cascade control system design;.” 2014. Thesis, Anna University. Accessed September 20, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/22981.

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

MLA Handbook (7th Edition):

C, Agees kumar. “Application of evolutionary computation techniques to multiobjective cascade control system design;.” 2014. Web. 20 Sep 2020.

Vancouver:

C Ak. Application of evolutionary computation techniques to multiobjective cascade control system design;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Sep 20]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/22981.

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

Council of Science Editors:

C Ak. Application of evolutionary computation techniques to multiobjective cascade control system design;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/22981

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


University of Guelph

2. McEachern, Andrew. Woven String Kernels.

Degree: PhD, Department of Mathematics and Statistics, 2013, University of Guelph

 Woven string kernels are a form of evolvable, directed, acyclic graphs specialized to perform DNA classification. They are introduced in this thesis, given a rigorous… (more)

Subjects/Keywords: Biomathematics; Evolutionary Computation

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APA (6th Edition):

McEachern, A. (2013). Woven String Kernels. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7442

Chicago Manual of Style (16th Edition):

McEachern, Andrew. “Woven String Kernels.” 2013. Doctoral Dissertation, University of Guelph. Accessed September 20, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7442.

MLA Handbook (7th Edition):

McEachern, Andrew. “Woven String Kernels.” 2013. Web. 20 Sep 2020.

Vancouver:

McEachern A. Woven String Kernels. [Internet] [Doctoral dissertation]. University of Guelph; 2013. [cited 2020 Sep 20]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7442.

Council of Science Editors:

McEachern A. Woven String Kernels. [Doctoral Dissertation]. University of Guelph; 2013. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7442


University of Guelph

3. Brown, Joseph Alexander. Regression and Classification from Extinction.

Degree: PhD, School of Computer Science, 2014, University of Guelph

Evolutionary Algorithms use the principles of natural selection and biological evolution to act as search and optimization tools. Two novel Spatially Structured Evolutionary Algorithms: the… (more)

Subjects/Keywords: Genetic Algorithms; Bioinformatics; Evolutionary Computation

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APA (6th Edition):

Brown, J. A. (2014). Regression and Classification from Extinction. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7793

Chicago Manual of Style (16th Edition):

Brown, Joseph Alexander. “Regression and Classification from Extinction.” 2014. Doctoral Dissertation, University of Guelph. Accessed September 20, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7793.

MLA Handbook (7th Edition):

Brown, Joseph Alexander. “Regression and Classification from Extinction.” 2014. Web. 20 Sep 2020.

Vancouver:

Brown JA. Regression and Classification from Extinction. [Internet] [Doctoral dissertation]. University of Guelph; 2014. [cited 2020 Sep 20]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7793.

Council of Science Editors:

Brown JA. Regression and Classification from Extinction. [Doctoral Dissertation]. University of Guelph; 2014. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7793


University of Adelaide

4. Ghandar, Adam Mostafa. Evolving decision models for asset selection in equity portfolio management.

Degree: 2010, University of Adelaide

 This thesis contributes an approach to equity portfolio management using computational intelligence methodologies. The focus is on generating an automated financial reasoning, with a basis… (more)

Subjects/Keywords: evolutionary computation; fuzzy system; finance

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APA (6th Edition):

Ghandar, A. M. (2010). Evolving decision models for asset selection in equity portfolio management. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/62575

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):

Ghandar, Adam Mostafa. “Evolving decision models for asset selection in equity portfolio management.” 2010. Thesis, University of Adelaide. Accessed September 20, 2020. http://hdl.handle.net/2440/62575.

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

MLA Handbook (7th Edition):

Ghandar, Adam Mostafa. “Evolving decision models for asset selection in equity portfolio management.” 2010. Web. 20 Sep 2020.

Vancouver:

Ghandar AM. Evolving decision models for asset selection in equity portfolio management. [Internet] [Thesis]. University of Adelaide; 2010. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2440/62575.

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

Council of Science Editors:

Ghandar AM. Evolving decision models for asset selection in equity portfolio management. [Thesis]. University of Adelaide; 2010. Available from: http://hdl.handle.net/2440/62575

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


University of Oklahoma

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

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 September 20, 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. 20 Sep 2020.

Vancouver:

Carlson B. Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2020 Sep 20]. 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

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

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 September 20, 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. 20 Sep 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 Sep 20]. 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


Penn State University

7. Sottile, Brad Joseph. Evolutionary Computation for Spacecraft Trajectory Optimization.

Degree: 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. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/19135

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):

Sottile, Brad Joseph. “Evolutionary Computation for Spacecraft Trajectory Optimization.” 2013. Thesis, Penn State University. Accessed September 20, 2020. https://submit-etda.libraries.psu.edu/catalog/19135.

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

MLA Handbook (7th Edition):

Sottile, Brad Joseph. “Evolutionary Computation for Spacecraft Trajectory Optimization.” 2013. Web. 20 Sep 2020.

Vancouver:

Sottile BJ. Evolutionary Computation for Spacecraft Trajectory Optimization. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Sep 20]. Available from: https://submit-etda.libraries.psu.edu/catalog/19135.

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

Council of Science Editors:

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

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


Cornell University

8. Schmidt, Michael. Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems.

Degree: PhD, Computational Biology, 2011, Cornell University

 The work presented here advances the technology to analyze experimental data and automatically hypothesize about explanatory models and physical laws that help explain observations. Automated… (more)

Subjects/Keywords: Machine Science; Artificial Intelligence; Evolutionary Computation

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APA (6th Edition):

Schmidt, M. (2011). Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33574

Chicago Manual of Style (16th Edition):

Schmidt, Michael. “Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems.” 2011. Doctoral Dissertation, Cornell University. Accessed September 20, 2020. http://hdl.handle.net/1813/33574.

MLA Handbook (7th Edition):

Schmidt, Michael. “Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems.” 2011. Web. 20 Sep 2020.

Vancouver:

Schmidt M. Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1813/33574.

Council of Science Editors:

Schmidt M. Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/33574


University of Vermont

9. Totten, Mariko L. Exploring the Evolution of Modularity in Gene Regulatory Networks.

Degree: Computer Science, 2015, University of Vermont

  Modularity has been observed in biological systems of all shapes and sizes. Intuitively, we recognize that this component-based structure can increase efficiency and robustness… (more)

Subjects/Keywords: modularity; robustness; gene regulatory network; evolutionary computation

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APA (6th Edition):

Totten, M. L. (2015). Exploring the Evolution of Modularity in Gene Regulatory Networks. (Thesis). University of Vermont. Retrieved from https://scholarworks.uvm.edu/hcoltheses/69

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):

Totten, Mariko L. “Exploring the Evolution of Modularity in Gene Regulatory Networks.” 2015. Thesis, University of Vermont. Accessed September 20, 2020. https://scholarworks.uvm.edu/hcoltheses/69.

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

MLA Handbook (7th Edition):

Totten, Mariko L. “Exploring the Evolution of Modularity in Gene Regulatory Networks.” 2015. Web. 20 Sep 2020.

Vancouver:

Totten ML. Exploring the Evolution of Modularity in Gene Regulatory Networks. [Internet] [Thesis]. University of Vermont; 2015. [cited 2020 Sep 20]. Available from: https://scholarworks.uvm.edu/hcoltheses/69.

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

Council of Science Editors:

Totten ML. Exploring the Evolution of Modularity in Gene Regulatory Networks. [Thesis]. University of Vermont; 2015. Available from: https://scholarworks.uvm.edu/hcoltheses/69

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


Victoria University of Wellington

10. Afzali Vahed Moghaddam, Shima. Evolutionary Computation for Feature Manipulation in Salient Object Detection.

Degree: 2020, Victoria University of Wellington

 The human visual system can efficiently cope with complex natural scenes containing various objects at different scales using the visual attention mechanism. Salient object detection… (more)

Subjects/Keywords: Salient object detection; Evolutionary computation; Feature manipulation

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APA (6th Edition):

Afzali Vahed Moghaddam, S. (2020). Evolutionary Computation for Feature Manipulation in Salient Object Detection. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/8897

Chicago Manual of Style (16th Edition):

Afzali Vahed Moghaddam, Shima. “Evolutionary Computation for Feature Manipulation in Salient Object Detection.” 2020. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/8897.

MLA Handbook (7th Edition):

Afzali Vahed Moghaddam, Shima. “Evolutionary Computation for Feature Manipulation in Salient Object Detection.” 2020. Web. 20 Sep 2020.

Vancouver:

Afzali Vahed Moghaddam S. Evolutionary Computation for Feature Manipulation in Salient Object Detection. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2020. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/8897.

Council of Science Editors:

Afzali Vahed Moghaddam S. Evolutionary Computation for Feature Manipulation in Salient Object Detection. [Doctoral Dissertation]. Victoria University of Wellington; 2020. Available from: http://hdl.handle.net/10063/8897

11. Simons, Christopher. Interactive evolutionary computing in early lifecycle software engineering design.

Degree: PhD, 2011, University of the West of England, Bristol

 Design is fundamental to software development. Indeed, early lifecycle software engineering design is crucial and has significant impact of subsequent development activities. Inferior designs can… (more)

Subjects/Keywords: 005.1; software design; interactive evolutionary computation

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APA (6th Edition):

Simons, C. (2011). Interactive evolutionary computing in early lifecycle software engineering design. (Doctoral Dissertation). University of the West of England, Bristol. Retrieved from https://uwe-repository.worktribe.com/output/963226 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573578

Chicago Manual of Style (16th Edition):

Simons, Christopher. “Interactive evolutionary computing in early lifecycle software engineering design.” 2011. Doctoral Dissertation, University of the West of England, Bristol. Accessed September 20, 2020. https://uwe-repository.worktribe.com/output/963226 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573578.

MLA Handbook (7th Edition):

Simons, Christopher. “Interactive evolutionary computing in early lifecycle software engineering design.” 2011. Web. 20 Sep 2020.

Vancouver:

Simons C. Interactive evolutionary computing in early lifecycle software engineering design. [Internet] [Doctoral dissertation]. University of the West of England, Bristol; 2011. [cited 2020 Sep 20]. Available from: https://uwe-repository.worktribe.com/output/963226 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573578.

Council of Science Editors:

Simons C. Interactive evolutionary computing in early lifecycle software engineering design. [Doctoral Dissertation]. University of the West of England, Bristol; 2011. Available from: https://uwe-repository.worktribe.com/output/963226 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573578


University of Adelaide

12. Gao, Wanru. Diversity optimization and parameterized analysis of heuristic search methods for combinatorial optimization problems.

Degree: 2016, University of Adelaide

 Heuristic search algorithms belong to the most successful approaches for many combinatorial optimization problems which have wide real world applications in various areas. The heuristic… (more)

Subjects/Keywords: combinatorial optimization; diversity maximization; evolutionary computation

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APA (6th Edition):

Gao, W. (2016). Diversity optimization and parameterized analysis of heuristic search methods for combinatorial optimization problems. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/103758

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):

Gao, Wanru. “Diversity optimization and parameterized analysis of heuristic search methods for combinatorial optimization problems.” 2016. Thesis, University of Adelaide. Accessed September 20, 2020. http://hdl.handle.net/2440/103758.

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

MLA Handbook (7th Edition):

Gao, Wanru. “Diversity optimization and parameterized analysis of heuristic search methods for combinatorial optimization problems.” 2016. Web. 20 Sep 2020.

Vancouver:

Gao W. Diversity optimization and parameterized analysis of heuristic search methods for combinatorial optimization problems. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2440/103758.

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

Council of Science Editors:

Gao W. Diversity optimization and parameterized analysis of heuristic search methods for combinatorial optimization problems. [Thesis]. University of Adelaide; 2016. Available from: http://hdl.handle.net/2440/103758

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

13. Oliveira, Pedro paulo Balbi de. An empirical exploration of computations with a cellular-automata-based artificial life world.

Degree: PhD, 1994, University of Sussex

Subjects/Keywords: 005; Evolutionary computation

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

APA (6th Edition):

Oliveira, P. p. B. d. (1994). An empirical exploration of computations with a cellular-automata-based artificial life world. (Doctoral Dissertation). University of Sussex. Retrieved from https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240429

Chicago Manual of Style (16th Edition):

Oliveira, Pedro paulo Balbi de. “An empirical exploration of computations with a cellular-automata-based artificial life world.” 1994. Doctoral Dissertation, University of Sussex. Accessed September 20, 2020. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240429.

MLA Handbook (7th Edition):

Oliveira, Pedro paulo Balbi de. “An empirical exploration of computations with a cellular-automata-based artificial life world.” 1994. Web. 20 Sep 2020.

Vancouver:

Oliveira PpBd. An empirical exploration of computations with a cellular-automata-based artificial life world. [Internet] [Doctoral dissertation]. University of Sussex; 1994. [cited 2020 Sep 20]. Available from: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240429.

Council of Science Editors:

Oliveira PpBd. An empirical exploration of computations with a cellular-automata-based artificial life world. [Doctoral Dissertation]. University of Sussex; 1994. Available from: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240429


Hong Kong University of Science and Technology

14. 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 September 20, 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. 20 Sep 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 Sep 20]. 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 Hong Kong

15. 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 September 20, 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. 20 Sep 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 Sep 20]. 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

16. 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 September 20, 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. 20 Sep 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 Sep 20]. 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


Latrobe University

17. Li, Xi. DNA motif discovery using evolutionary computation technique.

Degree: PhD, 2012, Latrobe University

Thesis (Ph.D.) - La Trobe University, 2012

Submission note: "A thesis submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy… (more)

Subjects/Keywords: DNA.; Transcription factors.; Evolutionary computation  – Research.

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APA (6th Edition):

Li, X. (2012). DNA motif discovery using evolutionary computation technique. (Doctoral Dissertation). Latrobe University. Retrieved from http://hdl.handle.net/1959.9/511649

Chicago Manual of Style (16th Edition):

Li, Xi. “DNA motif discovery using evolutionary computation technique.” 2012. Doctoral Dissertation, Latrobe University. Accessed September 20, 2020. http://hdl.handle.net/1959.9/511649.

MLA Handbook (7th Edition):

Li, Xi. “DNA motif discovery using evolutionary computation technique.” 2012. Web. 20 Sep 2020.

Vancouver:

Li X. DNA motif discovery using evolutionary computation technique. [Internet] [Doctoral dissertation]. Latrobe University; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1959.9/511649.

Council of Science Editors:

Li X. DNA motif discovery using evolutionary computation technique. [Doctoral Dissertation]. Latrobe University; 2012. Available from: http://hdl.handle.net/1959.9/511649


University of Missouri – Columbia

18. 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 September 20, 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. 20 Sep 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 Sep 20]. 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


University of Guelph

19. Barlow, LeeAnn. Representation, Graph Evolution, and the Induction of Desired Behaviours.

Degree: PhD, Department of Mathematics and Statistics, 2015, University of Guelph

 Networks and combinatorial graphs are commonly used in a wide variety of types of mathematical modelling to represent structures such as contact networks in epidemiology,… (more)

Subjects/Keywords: evolutionary computation; graph evolution; networks; Iterated Prisoner's Dilemma; graph-based evolutionary computation

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APA (6th Edition):

Barlow, L. (2015). Representation, Graph Evolution, and the Induction of Desired Behaviours. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8943

Chicago Manual of Style (16th Edition):

Barlow, LeeAnn. “Representation, Graph Evolution, and the Induction of Desired Behaviours.” 2015. Doctoral Dissertation, University of Guelph. Accessed September 20, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8943.

MLA Handbook (7th Edition):

Barlow, LeeAnn. “Representation, Graph Evolution, and the Induction of Desired Behaviours.” 2015. Web. 20 Sep 2020.

Vancouver:

Barlow L. Representation, Graph Evolution, and the Induction of Desired Behaviours. [Internet] [Doctoral dissertation]. University of Guelph; 2015. [cited 2020 Sep 20]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8943.

Council of Science Editors:

Barlow L. Representation, Graph Evolution, and the Induction of Desired Behaviours. [Doctoral Dissertation]. University of Guelph; 2015. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8943


Ryerson University

20. Mostowfi, Mahsa. A Study On Financial Time Series Forecasting And Symbolic Regression By Means Of A Hybrid Probabilistic Model-Building Cartesian Genetic Programming Methodology.

Degree: 2013, Ryerson University

 This work proposes a hybrid algorithm called Probabilistic Incremental Cartesian Genetic Pro- gramming (PI-CGP), which integrates an Estimation of Distribution Algorithm (EDA) with Carte- sian… (more)

Subjects/Keywords: Evolutionary programming (Computer science); Computational intelligence; Evolutionary computation.

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APA (6th Edition):

Mostowfi, M. (2013). A Study On Financial Time Series Forecasting And Symbolic Regression By Means Of A Hybrid Probabilistic Model-Building Cartesian Genetic Programming Methodology. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1962

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):

Mostowfi, Mahsa. “A Study On Financial Time Series Forecasting And Symbolic Regression By Means Of A Hybrid Probabilistic Model-Building Cartesian Genetic Programming Methodology.” 2013. Thesis, Ryerson University. Accessed September 20, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A1962.

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

MLA Handbook (7th Edition):

Mostowfi, Mahsa. “A Study On Financial Time Series Forecasting And Symbolic Regression By Means Of A Hybrid Probabilistic Model-Building Cartesian Genetic Programming Methodology.” 2013. Web. 20 Sep 2020.

Vancouver:

Mostowfi M. A Study On Financial Time Series Forecasting And Symbolic Regression By Means Of A Hybrid Probabilistic Model-Building Cartesian Genetic Programming Methodology. [Internet] [Thesis]. Ryerson University; 2013. [cited 2020 Sep 20]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1962.

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

Council of Science Editors:

Mostowfi M. A Study On Financial Time Series Forecasting And Symbolic Regression By Means Of A Hybrid Probabilistic Model-Building Cartesian Genetic Programming Methodology. [Thesis]. Ryerson University; 2013. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1962

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


Ryerson University

21. Holker, Graham. Study of estimation of distribution algorithms applied to neuroevolution.

Degree: 2011, Ryerson University

 This thesis proposed a methodology for the automatic design of neural networks via Estimation of Distribution Algorithms (EDA). The method evolves both topology and weights.… (more)

Subjects/Keywords: Evolutionary programming (Computer science); Evolutionary computation; Neural networks (Computer science)

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APA (6th Edition):

Holker, G. (2011). Study of estimation of distribution algorithms applied to neuroevolution. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1849

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):

Holker, Graham. “Study of estimation of distribution algorithms applied to neuroevolution.” 2011. Thesis, Ryerson University. Accessed September 20, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A1849.

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

MLA Handbook (7th Edition):

Holker, Graham. “Study of estimation of distribution algorithms applied to neuroevolution.” 2011. Web. 20 Sep 2020.

Vancouver:

Holker G. Study of estimation of distribution algorithms applied to neuroevolution. [Internet] [Thesis]. Ryerson University; 2011. [cited 2020 Sep 20]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1849.

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

Council of Science Editors:

Holker G. Study of estimation of distribution algorithms applied to neuroevolution. [Thesis]. Ryerson University; 2011. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1849

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


University of Vermont

22. Felag, Jack. Co-optimization of a Robot's Body and Brain via Evolution and Reinforcement Learning.

Degree: MS, Complex Systems, 2020, University of Vermont

  Agents are often trained to perform a task via optimization algorithms. One class of algorithms used is evolution, which is ``survival of the fitness''… (more)

Subjects/Keywords: Evolutionary Algorithms; Evolutionary Computation; Optimization; Reinforcement Learning; RL; Robotics; Computer Sciences

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APA (6th Edition):

Felag, J. (2020). Co-optimization of a Robot's Body and Brain via Evolution and Reinforcement Learning. (Thesis). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/1224

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):

Felag, Jack. “Co-optimization of a Robot's Body and Brain via Evolution and Reinforcement Learning.” 2020. Thesis, University of Vermont. Accessed September 20, 2020. https://scholarworks.uvm.edu/graddis/1224.

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

MLA Handbook (7th Edition):

Felag, Jack. “Co-optimization of a Robot's Body and Brain via Evolution and Reinforcement Learning.” 2020. Web. 20 Sep 2020.

Vancouver:

Felag J. Co-optimization of a Robot's Body and Brain via Evolution and Reinforcement Learning. [Internet] [Thesis]. University of Vermont; 2020. [cited 2020 Sep 20]. Available from: https://scholarworks.uvm.edu/graddis/1224.

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

Council of Science Editors:

Felag J. Co-optimization of a Robot's Body and Brain via Evolution and Reinforcement Learning. [Thesis]. University of Vermont; 2020. Available from: https://scholarworks.uvm.edu/graddis/1224

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


University of Vermont

23. Cappelle, Collin. Exploring the Modularity and Structure of Robots Evolved in Multiple Environments.

Degree: PhD, Computer Science, 2019, University of Vermont

  Traditional techniques for the design of robots require human engineers to plan every aspect of the system, from body to controller. In contrast, the… (more)

Subjects/Keywords: Artificial Intelligence; Evolutionary Computation; Evolutionary Robotics; Modularity; Computer Sciences

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APA (6th Edition):

Cappelle, C. (2019). Exploring the Modularity and Structure of Robots Evolved in Multiple Environments. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/1091

Chicago Manual of Style (16th Edition):

Cappelle, Collin. “Exploring the Modularity and Structure of Robots Evolved in Multiple Environments.” 2019. Doctoral Dissertation, University of Vermont. Accessed September 20, 2020. https://scholarworks.uvm.edu/graddis/1091.

MLA Handbook (7th Edition):

Cappelle, Collin. “Exploring the Modularity and Structure of Robots Evolved in Multiple Environments.” 2019. Web. 20 Sep 2020.

Vancouver:

Cappelle C. Exploring the Modularity and Structure of Robots Evolved in Multiple Environments. [Internet] [Doctoral dissertation]. University of Vermont; 2019. [cited 2020 Sep 20]. Available from: https://scholarworks.uvm.edu/graddis/1091.

Council of Science Editors:

Cappelle C. Exploring the Modularity and Structure of Robots Evolved in Multiple Environments. [Doctoral Dissertation]. University of Vermont; 2019. Available from: https://scholarworks.uvm.edu/graddis/1091


University of Toronto

24. Grouchy, Paul. Evolvable Mathematical Models: A New Artificial Intelligence Paradigm.

Degree: PhD, 2014, University of Toronto

 We develop a novel Artificial Intelligence paradigm to generate autonomously artificial agents as mathematical models of behaviour. Agent/environment inputs are mapped to agent outputs via… (more)

Subjects/Keywords: Artificial Intelligence; Artificial Life; Evolutionary Computation; Evolutionary Robotics; Genetic Programming; 0538

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APA (6th Edition):

Grouchy, P. (2014). Evolvable Mathematical Models: A New Artificial Intelligence Paradigm. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/68193

Chicago Manual of Style (16th Edition):

Grouchy, Paul. “Evolvable Mathematical Models: A New Artificial Intelligence Paradigm.” 2014. Doctoral Dissertation, University of Toronto. Accessed September 20, 2020. http://hdl.handle.net/1807/68193.

MLA Handbook (7th Edition):

Grouchy, Paul. “Evolvable Mathematical Models: A New Artificial Intelligence Paradigm.” 2014. Web. 20 Sep 2020.

Vancouver:

Grouchy P. Evolvable Mathematical Models: A New Artificial Intelligence Paradigm. [Internet] [Doctoral dissertation]. University of Toronto; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1807/68193.

Council of Science Editors:

Grouchy P. Evolvable Mathematical Models: A New Artificial Intelligence Paradigm. [Doctoral Dissertation]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/68193


Macquarie University

25. 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 September 20, 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. 20 Sep 2020.

Vancouver:

Zhou J. Research on key technologies in wireless communications based on evolutionary algorithms. [Internet] [Doctoral dissertation]. Macquarie University; 2015. [cited 2020 Sep 20]. 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


Syracuse University

26. 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 (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 September 20, 2020. https://surface.syr.edu/etd/125.

MLA Handbook (7th Edition):

Kuber, Karthik. “Network Theoretic Analyses and Enhancements of Evolutionary Algorithms.” 2014. Web. 20 Sep 2020.

Vancouver:

Kuber K. Network Theoretic Analyses and Enhancements of Evolutionary Algorithms. [Internet] [Doctoral dissertation]. Syracuse University; 2014. [cited 2020 Sep 20]. 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


Anna University

27. Ganesh Vaidyanathan S. Development and performance evaluation of processing techniques for automatic Karyotyping.

Degree: Information and Communication, 2011, Anna University

The main objective of this work is to develop intermediate steps for automatic Karyotyping, aimed at improving the efficiency of the process. In Karyotyping, the… (more)

Subjects/Keywords: Karyotyping; Chromosomes; Segmentation technique; Evolutionary Computation; Particle Swarm Optimization

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APA (6th Edition):

S, G. V. (2011). Development and performance evaluation of processing techniques for automatic Karyotyping. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9851

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, Ganesh Vaidyanathan. “Development and performance evaluation of processing techniques for automatic Karyotyping.” 2011. Thesis, Anna University. Accessed September 20, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/9851.

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

MLA Handbook (7th Edition):

S, Ganesh Vaidyanathan. “Development and performance evaluation of processing techniques for automatic Karyotyping.” 2011. Web. 20 Sep 2020.

Vancouver:

S GV. Development and performance evaluation of processing techniques for automatic Karyotyping. [Internet] [Thesis]. Anna University; 2011. [cited 2020 Sep 20]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9851.

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

Council of Science Editors:

S GV. Development and performance evaluation of processing techniques for automatic Karyotyping. [Thesis]. Anna University; 2011. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9851

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


Penn State University

28. Pittman, Jennifer Lynn. ADAPTIVE SPLINES AND GENETIC ALGORITHMS FOR OPTIMAL STATISTICAL MODELING.

Degree: 2008, Penn State University

 Many statistical analyses and applications require the capture of a relationship between two variables X and Y that is more complex than a simple linear… (more)

Subjects/Keywords: model selection; evolutionary computation; splines

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APA (6th Edition):

Pittman, J. L. (2008). ADAPTIVE SPLINES AND GENETIC ALGORITHMS FOR OPTIMAL STATISTICAL MODELING. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/5815

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):

Pittman, Jennifer Lynn. “ADAPTIVE SPLINES AND GENETIC ALGORITHMS FOR OPTIMAL STATISTICAL MODELING.” 2008. Thesis, Penn State University. Accessed September 20, 2020. https://submit-etda.libraries.psu.edu/catalog/5815.

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

MLA Handbook (7th Edition):

Pittman, Jennifer Lynn. “ADAPTIVE SPLINES AND GENETIC ALGORITHMS FOR OPTIMAL STATISTICAL MODELING.” 2008. Web. 20 Sep 2020.

Vancouver:

Pittman JL. ADAPTIVE SPLINES AND GENETIC ALGORITHMS FOR OPTIMAL STATISTICAL MODELING. [Internet] [Thesis]. Penn State University; 2008. [cited 2020 Sep 20]. Available from: https://submit-etda.libraries.psu.edu/catalog/5815.

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

Council of Science Editors:

Pittman JL. ADAPTIVE SPLINES AND GENETIC ALGORITHMS FOR OPTIMAL STATISTICAL MODELING. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/5815

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


University of Newcastle

29. Wiklendt, Lukasz. Spiking neural networks for robot locomotion control.

Degree: PhD, 2014, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

Spiking neural networks (SNNs) are computational models of biological neurons and the synapses that connect them. They are… (more)

Subjects/Keywords: spiking neural networks; robot locomotion; evolutionary computation; acrobot; biped

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APA (6th Edition):

Wiklendt, L. (2014). Spiking neural networks for robot locomotion control. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1049196

Chicago Manual of Style (16th Edition):

Wiklendt, Lukasz. “Spiking neural networks for robot locomotion control.” 2014. Doctoral Dissertation, University of Newcastle. Accessed September 20, 2020. http://hdl.handle.net/1959.13/1049196.

MLA Handbook (7th Edition):

Wiklendt, Lukasz. “Spiking neural networks for robot locomotion control.” 2014. Web. 20 Sep 2020.

Vancouver:

Wiklendt L. Spiking neural networks for robot locomotion control. [Internet] [Doctoral dissertation]. University of Newcastle; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1959.13/1049196.

Council of Science Editors:

Wiklendt L. Spiking neural networks for robot locomotion control. [Doctoral Dissertation]. University of Newcastle; 2014. Available from: http://hdl.handle.net/1959.13/1049196


North Carolina State University

30. Rao, Sunil Murali. Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization.

Degree: MS, Civil Engineering, 2003, North Carolina State University

 In the operations research literature, the Tchebycheff method has been demonstrated to be a useful approach for exploring the non-dominated solutions for multiobjective optimization problems.… (more)

Subjects/Keywords: Multiobjective Optimization; Evolutionary computation

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APA (6th Edition):

Rao, S. M. (2003). Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/272

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):

Rao, Sunil Murali. “Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization.” 2003. Thesis, North Carolina State University. Accessed September 20, 2020. http://www.lib.ncsu.edu/resolver/1840.16/272.

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

MLA Handbook (7th Edition):

Rao, Sunil Murali. “Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization.” 2003. Web. 20 Sep 2020.

Vancouver:

Rao SM. Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization. [Internet] [Thesis]. North Carolina State University; 2003. [cited 2020 Sep 20]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/272.

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

Council of Science Editors:

Rao SM. Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization. [Thesis]. North Carolina State University; 2003. Available from: http://www.lib.ncsu.edu/resolver/1840.16/272

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

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