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You searched for subject:(Evolutionary Algorithm). Showing records 1 – 30 of 312 total matches.

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NSYSU

1. Liao, Yu-Hsun. A Quantum-inspired Evolutionary Clustering Algorithm.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

 In recent years, a lot of evolutionary computation methods have been proposed to solve the combinatorial optimization problem based on the concepts of quantum mechanics.… (more)

Subjects/Keywords: clustering; quantum-inspired evolutionary algorithm; Evolutionary algorithm

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APA (6th Edition):

Liao, Y. (2014). A Quantum-inspired Evolutionary Clustering Algorithm. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317114-105921

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):

Liao, Yu-Hsun. “A Quantum-inspired Evolutionary Clustering Algorithm.” 2014. Thesis, NSYSU. Accessed July 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317114-105921.

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

MLA Handbook (7th Edition):

Liao, Yu-Hsun. “A Quantum-inspired Evolutionary Clustering Algorithm.” 2014. Web. 16 Jul 2019.

Vancouver:

Liao Y. A Quantum-inspired Evolutionary Clustering Algorithm. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Jul 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317114-105921.

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

Council of Science Editors:

Liao Y. A Quantum-inspired Evolutionary Clustering Algorithm. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317114-105921

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


University of Windsor

2. Hlynka, Andrew William. Using Heritage in Multi-Population Evolutionary Algorithms.

Degree: MS, Computer Science, 2015, University of Windsor

 Multi-Population Cultural Algorithms (MPCA) define a set of individuals that can be categorized as belonging to one of a set of populations. Not only reserved… (more)

Subjects/Keywords: cultural algorithm; evolutionary algorithm; heritage; multi-population

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APA (6th Edition):

Hlynka, A. W. (2015). Using Heritage in Multi-Population Evolutionary Algorithms. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5641

Chicago Manual of Style (16th Edition):

Hlynka, Andrew William. “Using Heritage in Multi-Population Evolutionary Algorithms.” 2015. Masters Thesis, University of Windsor. Accessed July 16, 2019. https://scholar.uwindsor.ca/etd/5641.

MLA Handbook (7th Edition):

Hlynka, Andrew William. “Using Heritage in Multi-Population Evolutionary Algorithms.” 2015. Web. 16 Jul 2019.

Vancouver:

Hlynka AW. Using Heritage in Multi-Population Evolutionary Algorithms. [Internet] [Masters thesis]. University of Windsor; 2015. [cited 2019 Jul 16]. Available from: https://scholar.uwindsor.ca/etd/5641.

Council of Science Editors:

Hlynka AW. Using Heritage in Multi-Population Evolutionary Algorithms. [Masters Thesis]. University of Windsor; 2015. Available from: https://scholar.uwindsor.ca/etd/5641


Texas A&M University

3. Jahangiri, Bardia. Generating Optimized Cutting Layouts of Drywall Panels Using Building Information Modeling.

Degree: MS, Construction Management, 2016, Texas A&M University

 The construction industry generates a substantial amount of solid waste. Cutting building materials into smaller pieces to fit the design is one of the sources… (more)

Subjects/Keywords: BIM; optimization; evolutionary algorithm; lean

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APA (6th Edition):

Jahangiri, B. (2016). Generating Optimized Cutting Layouts of Drywall Panels Using Building Information Modeling. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157166

Chicago Manual of Style (16th Edition):

Jahangiri, Bardia. “Generating Optimized Cutting Layouts of Drywall Panels Using Building Information Modeling.” 2016. Masters Thesis, Texas A&M University. Accessed July 16, 2019. http://hdl.handle.net/1969.1/157166.

MLA Handbook (7th Edition):

Jahangiri, Bardia. “Generating Optimized Cutting Layouts of Drywall Panels Using Building Information Modeling.” 2016. Web. 16 Jul 2019.

Vancouver:

Jahangiri B. Generating Optimized Cutting Layouts of Drywall Panels Using Building Information Modeling. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/1969.1/157166.

Council of Science Editors:

Jahangiri B. Generating Optimized Cutting Layouts of Drywall Panels Using Building Information Modeling. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157166


University of Newcastle

4. Wang, Peng. A smart experience-based knowledge analysis system (SEKAS).

Degree: PhD, 2014, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

This thesis addresses issues associated with using ever-increasing amounts of information and knowledge more effectively, and taking advantage… (more)

Subjects/Keywords: knowledge management; evolutionary algorithm; heuristic

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APA (6th Edition):

Wang, P. (2014). A smart experience-based knowledge analysis system (SEKAS). (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1054153

Chicago Manual of Style (16th Edition):

Wang, Peng. “A smart experience-based knowledge analysis system (SEKAS).” 2014. Doctoral Dissertation, University of Newcastle. Accessed July 16, 2019. http://hdl.handle.net/1959.13/1054153.

MLA Handbook (7th Edition):

Wang, Peng. “A smart experience-based knowledge analysis system (SEKAS).” 2014. Web. 16 Jul 2019.

Vancouver:

Wang P. A smart experience-based knowledge analysis system (SEKAS). [Internet] [Doctoral dissertation]. University of Newcastle; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/1959.13/1054153.

Council of Science Editors:

Wang P. A smart experience-based knowledge analysis system (SEKAS). [Doctoral Dissertation]. University of Newcastle; 2014. Available from: http://hdl.handle.net/1959.13/1054153


Punjabi University

5. Kaur, Maninder. Development of an algorithm using evolutionary approach for digital circuit layout based on graph partitioning technique; -.

Degree: Computer Science, 2013, Punjabi University

Abstract avalible

Bibliography p.167 - 189

Advisors/Committee Members: Singh, Kawaljeet.

Subjects/Keywords: algorithm; approach; evolutionary

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APA (6th Edition):

Kaur, M. (2013). Development of an algorithm using evolutionary approach for digital circuit layout based on graph partitioning technique; -. (Thesis). Punjabi University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/36772

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):

Kaur, Maninder. “Development of an algorithm using evolutionary approach for digital circuit layout based on graph partitioning technique; -.” 2013. Thesis, Punjabi University. Accessed July 16, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/36772.

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

MLA Handbook (7th Edition):

Kaur, Maninder. “Development of an algorithm using evolutionary approach for digital circuit layout based on graph partitioning technique; -.” 2013. Web. 16 Jul 2019.

Vancouver:

Kaur M. Development of an algorithm using evolutionary approach for digital circuit layout based on graph partitioning technique; -. [Internet] [Thesis]. Punjabi University; 2013. [cited 2019 Jul 16]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36772.

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

Council of Science Editors:

Kaur M. Development of an algorithm using evolutionary approach for digital circuit layout based on graph partitioning technique; -. [Thesis]. Punjabi University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36772

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

6. Dahlberg, Leslie. Evolutionary Computation in Continuous Optimization and Machine Learning.

Degree: Design and Engineering, 2017, Mälardalen University

Evolutionary computation is a field which uses natural computational processes to optimize mathematical and industrial problems. Differential Evolution, Particle Swarm Optimization and Estimation of… (more)

Subjects/Keywords: evolutionary; algorithm; optimization; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Dahlberg, L. (2017). Evolutionary Computation in Continuous Optimization and Machine Learning. (Thesis). Mälardalen University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35674

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):

Dahlberg, Leslie. “Evolutionary Computation in Continuous Optimization and Machine Learning.” 2017. Thesis, Mälardalen University. Accessed July 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35674.

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

MLA Handbook (7th Edition):

Dahlberg, Leslie. “Evolutionary Computation in Continuous Optimization and Machine Learning.” 2017. Web. 16 Jul 2019.

Vancouver:

Dahlberg L. Evolutionary Computation in Continuous Optimization and Machine Learning. [Internet] [Thesis]. Mälardalen University; 2017. [cited 2019 Jul 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35674.

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

Council of Science Editors:

Dahlberg L. Evolutionary Computation in Continuous Optimization and Machine Learning. [Thesis]. Mälardalen University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35674

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


Penn State University

7. 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 (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 July 16, 2019. https://etda.libraries.psu.edu/catalog/12405nxs328.

MLA Handbook (7th Edition):

Sah, Navdha. “Clustering Using Differential Evolution.” 2016. Web. 16 Jul 2019.

Vancouver:

Sah N. Clustering Using Differential Evolution. [Internet] [Masters thesis]. Penn State University; 2016. [cited 2019 Jul 16]. 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


University of Adelaide

8. Poursoltan, Shayan. Feature-based selection of bio-inspired algorithms for constrained continuous optimisation.

Degree: 2016, University of Adelaide

 Constrained continuous optimisation problems are widespread in the real-world and often very complex. Bio-inspired algorithms such as evolutionary algorithms (EAs) or particle swarm optimisation (PSO)… (more)

Subjects/Keywords: evolutionary algorithm; optimisation; constrained optimisation problem

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APA (6th Edition):

Poursoltan, S. (2016). Feature-based selection of bio-inspired algorithms for constrained continuous optimisation. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/119517

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):

Poursoltan, Shayan. “Feature-based selection of bio-inspired algorithms for constrained continuous optimisation.” 2016. Thesis, University of Adelaide. Accessed July 16, 2019. http://hdl.handle.net/2440/119517.

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

MLA Handbook (7th Edition):

Poursoltan, Shayan. “Feature-based selection of bio-inspired algorithms for constrained continuous optimisation.” 2016. Web. 16 Jul 2019.

Vancouver:

Poursoltan S. Feature-based selection of bio-inspired algorithms for constrained continuous optimisation. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2440/119517.

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

Council of Science Editors:

Poursoltan S. Feature-based selection of bio-inspired algorithms for constrained continuous optimisation. [Thesis]. University of Adelaide; 2016. Available from: http://hdl.handle.net/2440/119517

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


NSYSU

9. CHEN, YAN-RONG. An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm.

Degree: Master, Computer Science and Engineering, 2018, NSYSU

 Many metaheuristic algorithms have been presented to find an approximate solution for the data clustering problem in recent years. To understand the capability of quantum-based… (more)

Subjects/Keywords: Metaheuristic Algorithm; Clustering Problem; Quantum-Inspired Evolutionary Algorithm; Data Clustering; Evolutionary Computing

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APA (6th Edition):

CHEN, Y. (2018). An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722118-195736

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-RONG. “An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm.” 2018. Thesis, NSYSU. Accessed July 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722118-195736.

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-RONG. “An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm.” 2018. Web. 16 Jul 2019.

Vancouver:

CHEN Y. An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Jul 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722118-195736.

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. An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722118-195736

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


Robert Gordon University

10. Brownlee, Alexander Edward Ian. Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm.

Degree: PhD, 2009, Robert Gordon University

 A well-known paradigm for optimisation is the evolutionary algorithm (EA). An EA maintains a population of possible solutions to a problem which converges on a… (more)

Subjects/Keywords: 004; Evolutionary algorithm; Estimation of distribution algorithm; Markov networks

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APA (6th Edition):

Brownlee, A. E. I. (2009). Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. (Doctoral Dissertation). Robert Gordon University. Retrieved from http://hdl.handle.net/10059/381

Chicago Manual of Style (16th Edition):

Brownlee, Alexander Edward Ian. “Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm.” 2009. Doctoral Dissertation, Robert Gordon University. Accessed July 16, 2019. http://hdl.handle.net/10059/381.

MLA Handbook (7th Edition):

Brownlee, Alexander Edward Ian. “Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm.” 2009. Web. 16 Jul 2019.

Vancouver:

Brownlee AEI. Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. [Internet] [Doctoral dissertation]. Robert Gordon University; 2009. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10059/381.

Council of Science Editors:

Brownlee AEI. Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. [Doctoral Dissertation]. Robert Gordon University; 2009. Available from: http://hdl.handle.net/10059/381


Penn State University

11. Dahiya, Siddharth. Course Scheduling with Preference Optimization.

Degree: MS, Computer Science, 2015, Penn State University

 The university course timetabling problem is a well-researched NP-hard problem where the goal is to create a course timetable with a given number of professors,… (more)

Subjects/Keywords: course scheduling; timetabling; utp; genetic algorithm; university timetabling problem; evolutionary algorithm

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APA (6th Edition):

Dahiya, S. (2015). Course Scheduling with Preference Optimization. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/25069

Chicago Manual of Style (16th Edition):

Dahiya, Siddharth. “Course Scheduling with Preference Optimization.” 2015. Masters Thesis, Penn State University. Accessed July 16, 2019. https://etda.libraries.psu.edu/catalog/25069.

MLA Handbook (7th Edition):

Dahiya, Siddharth. “Course Scheduling with Preference Optimization.” 2015. Web. 16 Jul 2019.

Vancouver:

Dahiya S. Course Scheduling with Preference Optimization. [Internet] [Masters thesis]. Penn State University; 2015. [cited 2019 Jul 16]. Available from: https://etda.libraries.psu.edu/catalog/25069.

Council of Science Editors:

Dahiya S. Course Scheduling with Preference Optimization. [Masters Thesis]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/25069


University of Minnesota

12. Sullivan, Thomas Adam. Multi-domain multi-objective optimization of mechanisms: a general method with two case studies.

Degree: MS, 2013, University of Minnesota

 While the design of mechanisms is a well-studied field, current optimization techniques generally focus on the kinematics and dynamics and relegate other aspects of the… (more)

Subjects/Keywords: Evolutionary Algorithm; Genetic Algorithm; Mechanisms; Multi-domain; Multi-objective; Optimization

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APA (6th Edition):

Sullivan, T. A. (2013). Multi-domain multi-objective optimization of mechanisms: a general method with two case studies. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/162401

Chicago Manual of Style (16th Edition):

Sullivan, Thomas Adam. “Multi-domain multi-objective optimization of mechanisms: a general method with two case studies.” 2013. Masters Thesis, University of Minnesota. Accessed July 16, 2019. http://hdl.handle.net/11299/162401.

MLA Handbook (7th Edition):

Sullivan, Thomas Adam. “Multi-domain multi-objective optimization of mechanisms: a general method with two case studies.” 2013. Web. 16 Jul 2019.

Vancouver:

Sullivan TA. Multi-domain multi-objective optimization of mechanisms: a general method with two case studies. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11299/162401.

Council of Science Editors:

Sullivan TA. Multi-domain multi-objective optimization of mechanisms: a general method with two case studies. [Masters Thesis]. University of Minnesota; 2013. Available from: http://hdl.handle.net/11299/162401


Brunel University

13. Al-Hajri, Muhammad T. Electrical power energy optimization at hydrocarbon industrial plant using intelligent algorithms.

Degree: PhD, 2016, Brunel University

 In this work, the potential of intelligent algorithms for optimizing the real power loss and enhancing the grid connection power factor in a real hydrocarbon… (more)

Subjects/Keywords: 006.3; Genetic algorithm; Improved strength pareto algorithm; Differential evolutionary algorithm; Real power loss; Economic analysis

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APA (6th Edition):

Al-Hajri, M. T. (2016). Electrical power energy optimization at hydrocarbon industrial plant using intelligent algorithms. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/12681 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685462

Chicago Manual of Style (16th Edition):

Al-Hajri, Muhammad T. “Electrical power energy optimization at hydrocarbon industrial plant using intelligent algorithms.” 2016. Doctoral Dissertation, Brunel University. Accessed July 16, 2019. http://bura.brunel.ac.uk/handle/2438/12681 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685462.

MLA Handbook (7th Edition):

Al-Hajri, Muhammad T. “Electrical power energy optimization at hydrocarbon industrial plant using intelligent algorithms.” 2016. Web. 16 Jul 2019.

Vancouver:

Al-Hajri MT. Electrical power energy optimization at hydrocarbon industrial plant using intelligent algorithms. [Internet] [Doctoral dissertation]. Brunel University; 2016. [cited 2019 Jul 16]. Available from: http://bura.brunel.ac.uk/handle/2438/12681 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685462.

Council of Science Editors:

Al-Hajri MT. Electrical power energy optimization at hydrocarbon industrial plant using intelligent algorithms. [Doctoral Dissertation]. Brunel University; 2016. Available from: http://bura.brunel.ac.uk/handle/2438/12681 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685462


Queensland University of Technology

14. Mohd Yusoh, Zeratul Izzah. Composite SaaS resource management in cloud computing using evolutionary computation.

Degree: 2013, Queensland University of Technology

 Cloud computing is an emerging computing paradigm in which IT resources are provided over the Internet as a service to users. One such service offered… (more)

Subjects/Keywords: software as a service; cloud computing; evolutionary computation; genetic algorithm; cooperative co-evolutionary algorithm; grouping genetic algorithm; optimisation; placement; clustering; scalability

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APA (6th Edition):

Mohd Yusoh, Z. I. (2013). Composite SaaS resource management in cloud computing using evolutionary computation. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/63280/

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):

Mohd Yusoh, Zeratul Izzah. “Composite SaaS resource management in cloud computing using evolutionary computation.” 2013. Thesis, Queensland University of Technology. Accessed July 16, 2019. https://eprints.qut.edu.au/63280/.

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

MLA Handbook (7th Edition):

Mohd Yusoh, Zeratul Izzah. “Composite SaaS resource management in cloud computing using evolutionary computation.” 2013. Web. 16 Jul 2019.

Vancouver:

Mohd Yusoh ZI. Composite SaaS resource management in cloud computing using evolutionary computation. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2019 Jul 16]. Available from: https://eprints.qut.edu.au/63280/.

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

Council of Science Editors:

Mohd Yusoh ZI. Composite SaaS resource management in cloud computing using evolutionary computation. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/63280/

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


Queensland University of Technology

15. Kok, Jonathan. Design methodologies and architectures of hardware-based evolutionary algorithms for aerospace optimisation applications on FPGAS.

Degree: 2014, Queensland University of Technology

 This thesis is a study of new design methods for allowing evolutionary algorithms to be more effectively utilised in aerospace optimisation applications where computation needs… (more)

Subjects/Keywords: Evolutionary algorithm; Evolutionary computation; Field programmable gate array; Genetic algorithm; Heuristics; Multi-objective evolutionary algorithm; Multi-objective optimisation; Path planning; Travelling salesman problem; Unmanned aerial vehicle

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APA (6th Edition):

Kok, J. (2014). Design methodologies and architectures of hardware-based evolutionary algorithms for aerospace optimisation applications on FPGAS. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/72904/

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):

Kok, Jonathan. “Design methodologies and architectures of hardware-based evolutionary algorithms for aerospace optimisation applications on FPGAS.” 2014. Thesis, Queensland University of Technology. Accessed July 16, 2019. https://eprints.qut.edu.au/72904/.

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

MLA Handbook (7th Edition):

Kok, Jonathan. “Design methodologies and architectures of hardware-based evolutionary algorithms for aerospace optimisation applications on FPGAS.” 2014. Web. 16 Jul 2019.

Vancouver:

Kok J. Design methodologies and architectures of hardware-based evolutionary algorithms for aerospace optimisation applications on FPGAS. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2019 Jul 16]. Available from: https://eprints.qut.edu.au/72904/.

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

Council of Science Editors:

Kok J. Design methodologies and architectures of hardware-based evolutionary algorithms for aerospace optimisation applications on FPGAS. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/72904/

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


Anna University

16. Aruna Jeyanthy P. Evolutionary algorithm based techniques for voltage security enhancement;.

Degree: Voltage security enhancement, 2013, Anna University

Modern electric power systems are large-scale and highly complex interconnected transmission systems, which in turn make the system more vulnerable to security problems. Conventional optimization… (more)

Subjects/Keywords: Evolutionary Algorithm; multi-objective genetic algorithm; voltage security enhancement; pareto-optimal solutions; L-index

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

APA (6th Edition):

P, A. J. (2013). Evolutionary algorithm based techniques for voltage security enhancement;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/10246

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

Chicago Manual of Style (16th Edition):

P, Aruna Jeyanthy. “Evolutionary algorithm based techniques for voltage security enhancement;.” 2013. Thesis, Anna University. Accessed July 16, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/10246.

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

MLA Handbook (7th Edition):

P, Aruna Jeyanthy. “Evolutionary algorithm based techniques for voltage security enhancement;.” 2013. Web. 16 Jul 2019.

Vancouver:

P AJ. Evolutionary algorithm based techniques for voltage security enhancement;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Jul 16]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/10246.

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

Council of Science Editors:

P AJ. Evolutionary algorithm based techniques for voltage security enhancement;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/10246

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


University of Exeter

17. Johns, Matthew Barrie. Incorporating domain expertise into evolutionary algorithm optimisation of water distribution systems.

Degree: PhD, 2016, University of Exeter

Evolutionary Algorithms (EAs) have been widely used for the optimisation of both theoretical and real-world non-linear problems, although such optimisation methods have found reasonably limited… (more)

Subjects/Keywords: 519.6; Evolutionary Algorithm; Visualisation; Optimisation; Water Distribution; Hybrid Genetic Algorithm; Multi Objective Optimisation

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

APA (6th Edition):

Johns, M. B. (2016). Incorporating domain expertise into evolutionary algorithm optimisation of water distribution systems. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/27762

Chicago Manual of Style (16th Edition):

Johns, Matthew Barrie. “Incorporating domain expertise into evolutionary algorithm optimisation of water distribution systems.” 2016. Doctoral Dissertation, University of Exeter. Accessed July 16, 2019. http://hdl.handle.net/10871/27762.

MLA Handbook (7th Edition):

Johns, Matthew Barrie. “Incorporating domain expertise into evolutionary algorithm optimisation of water distribution systems.” 2016. Web. 16 Jul 2019.

Vancouver:

Johns MB. Incorporating domain expertise into evolutionary algorithm optimisation of water distribution systems. [Internet] [Doctoral dissertation]. University of Exeter; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10871/27762.

Council of Science Editors:

Johns MB. Incorporating domain expertise into evolutionary algorithm optimisation of water distribution systems. [Doctoral Dissertation]. University of Exeter; 2016. Available from: http://hdl.handle.net/10871/27762


Brno University of Technology

18. Bortel, Martin. Evoluční algoritmy .

Degree: 2012, Brno University of Technology

 Práce se zabývá principy a základními vlastnostmi Evolučních a Genetických algoritmů. Jsou zde rozebrány operátory mutace, křížení a selekce a možnosti ukončení algoritmu. Uvedeny jsou… (more)

Subjects/Keywords: Evoluční algoritmus; Genetický algoritmus; Fitness; Gen; Chromozom; Evolutionary algorithm; Genetic algorithm; Fitness; Gen; Chromosome

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

APA (6th Edition):

Bortel, M. (2012). Evoluční algoritmy . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/71196

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):

Bortel, Martin. “Evoluční algoritmy .” 2012. Thesis, Brno University of Technology. Accessed July 16, 2019. http://hdl.handle.net/11012/71196.

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

MLA Handbook (7th Edition):

Bortel, Martin. “Evoluční algoritmy .” 2012. Web. 16 Jul 2019.

Vancouver:

Bortel M. Evoluční algoritmy . [Internet] [Thesis]. Brno University of Technology; 2012. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11012/71196.

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

Council of Science Editors:

Bortel M. Evoluční algoritmy . [Thesis]. Brno University of Technology; 2012. Available from: http://hdl.handle.net/11012/71196

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


University of Windsor

19. Singh, Dilpreet. Study the Effects of Multilevel Selection in Multi-Population Cultural Algorithm.

Degree: MS, Computer Science, 2018, University of Windsor

 This is a study on the effects of multilevel selection (MLS) theory in optimizing numerical functions. Based on this theory, a new architecture for Multi-Population… (more)

Subjects/Keywords: Evolutionary Algorithm; Multilevel Selection; Multilevel Selection in MPCA; Multi-Population Cultural Algorithm; Optimization

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

APA (6th Edition):

Singh, D. (2018). Study the Effects of Multilevel Selection in Multi-Population Cultural Algorithm. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7607

Chicago Manual of Style (16th Edition):

Singh, Dilpreet. “Study the Effects of Multilevel Selection in Multi-Population Cultural Algorithm.” 2018. Masters Thesis, University of Windsor. Accessed July 16, 2019. https://scholar.uwindsor.ca/etd/7607.

MLA Handbook (7th Edition):

Singh, Dilpreet. “Study the Effects of Multilevel Selection in Multi-Population Cultural Algorithm.” 2018. Web. 16 Jul 2019.

Vancouver:

Singh D. Study the Effects of Multilevel Selection in Multi-Population Cultural Algorithm. [Internet] [Masters thesis]. University of Windsor; 2018. [cited 2019 Jul 16]. Available from: https://scholar.uwindsor.ca/etd/7607.

Council of Science Editors:

Singh D. Study the Effects of Multilevel Selection in Multi-Population Cultural Algorithm. [Masters Thesis]. University of Windsor; 2018. Available from: https://scholar.uwindsor.ca/etd/7607


University of New South Wales

20. Elsayed , Saber. Evolutionary Approach for Constrained Optimization.

Degree: Engineering & Information Technology Canberra, 2012, University of New South Wales

 Constrained optimization is a challenging area of research in the science and engineering disciplines. Locating the optimal solutions for such problems is often difficult as… (more)

Subjects/Keywords: Genetic algorithm; Evolutionary algorithms; Constrained optimization; Differential evolution; Evolutionary strategies; Evolutionary programming; Ensemble of algorithms and operators; Hyper-heuristics

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APA (6th Edition):

Elsayed , S. (2012). Evolutionary Approach for Constrained Optimization. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52074 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10744/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Elsayed , Saber. “Evolutionary Approach for Constrained Optimization.” 2012. Doctoral Dissertation, University of New South Wales. Accessed July 16, 2019. http://handle.unsw.edu.au/1959.4/52074 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10744/SOURCE01?view=true.

MLA Handbook (7th Edition):

Elsayed , Saber. “Evolutionary Approach for Constrained Optimization.” 2012. Web. 16 Jul 2019.

Vancouver:

Elsayed S. Evolutionary Approach for Constrained Optimization. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2019 Jul 16]. Available from: http://handle.unsw.edu.au/1959.4/52074 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10744/SOURCE01?view=true.

Council of Science Editors:

Elsayed S. Evolutionary Approach for Constrained Optimization. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52074 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10744/SOURCE01?view=true


Universidade Nova

21. Galvão, Bernardo Gil Câmara. A multi-population hybrid Genetic Programming System.

Degree: 2017, Universidade Nova

 In the last few years, geometric semantic genetic programming has incremented its popularity, obtaining interesting results on several real life applications. Nevertheless, the large size… (more)

Subjects/Keywords: Machine Learning; Statistics; Computational Intelligence; Genetic Programming; Genetic Algorithm; Evolutionary Algorithm; Optimization Algorithm; Optimization Problem; Overfitting; Semantic Awareness

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

APA (6th Edition):

Galvão, B. G. C. (2017). A multi-population hybrid Genetic Programming System. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/25160

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):

Galvão, Bernardo Gil Câmara. “A multi-population hybrid Genetic Programming System.” 2017. Thesis, Universidade Nova. Accessed July 16, 2019. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/25160.

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

MLA Handbook (7th Edition):

Galvão, Bernardo Gil Câmara. “A multi-population hybrid Genetic Programming System.” 2017. Web. 16 Jul 2019.

Vancouver:

Galvão BGC. A multi-population hybrid Genetic Programming System. [Internet] [Thesis]. Universidade Nova; 2017. [cited 2019 Jul 16]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/25160.

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

Council of Science Editors:

Galvão BGC. A multi-population hybrid Genetic Programming System. [Thesis]. Universidade Nova; 2017. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/25160

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


Universidade Nova

22. Englert, Paul Joscha. On the use of semantic awareness to limit overfitting in genetic programming.

Degree: 2017, Universidade Nova

 Machine learning and statistics provide powerful tools to solving problems of many different shapes. But with the algorithms searching for approximations the problem of overfitting… (more)

Subjects/Keywords: Machine Learning; Statistics; Computational Intelligence; Genetic Programming; Genetic Algorithm; Evolutionary Algorithm; Optimization Algorithm; Optimization Problem; Overfitting; Semantic Awareness

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

APA (6th Edition):

Englert, P. J. (2017). On the use of semantic awareness to limit overfitting in genetic programming. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/25011

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):

Englert, Paul Joscha. “On the use of semantic awareness to limit overfitting in genetic programming.” 2017. Thesis, Universidade Nova. Accessed July 16, 2019. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/25011.

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

MLA Handbook (7th Edition):

Englert, Paul Joscha. “On the use of semantic awareness to limit overfitting in genetic programming.” 2017. Web. 16 Jul 2019.

Vancouver:

Englert PJ. On the use of semantic awareness to limit overfitting in genetic programming. [Internet] [Thesis]. Universidade Nova; 2017. [cited 2019 Jul 16]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/25011.

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

Council of Science Editors:

Englert PJ. On the use of semantic awareness to limit overfitting in genetic programming. [Thesis]. Universidade Nova; 2017. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/25011

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


University of Exeter

23. Fabritius, Björn. Application of genetic algorithms to problems in computational fluid dynamics.

Degree: PhD, 2014, University of Exeter

 In this thesis a methodology is presented to optimise non–linear mathematical models in numerical engineering applications. The method is based on biological evolution and uses… (more)

Subjects/Keywords: 006.3; Genetic Algorithm; Evolutionary Computing; Mesh Generation; CFD; Turbulence models

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

APA (6th Edition):

Fabritius, B. (2014). Application of genetic algorithms to problems in computational fluid dynamics. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/15236

Chicago Manual of Style (16th Edition):

Fabritius, Björn. “Application of genetic algorithms to problems in computational fluid dynamics.” 2014. Doctoral Dissertation, University of Exeter. Accessed July 16, 2019. http://hdl.handle.net/10871/15236.

MLA Handbook (7th Edition):

Fabritius, Björn. “Application of genetic algorithms to problems in computational fluid dynamics.” 2014. Web. 16 Jul 2019.

Vancouver:

Fabritius B. Application of genetic algorithms to problems in computational fluid dynamics. [Internet] [Doctoral dissertation]. University of Exeter; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10871/15236.

Council of Science Editors:

Fabritius B. Application of genetic algorithms to problems in computational fluid dynamics. [Doctoral Dissertation]. University of Exeter; 2014. Available from: http://hdl.handle.net/10871/15236


University of Ontario Institute of Technology

24. Esmailzadeh, Ali. Novel opposition-based sampling methods for efficiently solving challenging optimization problems.

Degree: 2011, University of Ontario Institute of Technology

 In solving noise-free and noisy optimization problems, candidate initialization and sampling play a key role, but are not deeply investigated. It is of interest to… (more)

Subjects/Keywords: Opposition-based learning; Large-scale; Noisy; Sampling methods; Evolutionary algorithm

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APA (6th Edition):

Esmailzadeh, A. (2011). Novel opposition-based sampling methods for efficiently solving challenging optimization problems. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/150

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):

Esmailzadeh, Ali. “Novel opposition-based sampling methods for efficiently solving challenging optimization problems.” 2011. Thesis, University of Ontario Institute of Technology. Accessed July 16, 2019. http://hdl.handle.net/10155/150.

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

MLA Handbook (7th Edition):

Esmailzadeh, Ali. “Novel opposition-based sampling methods for efficiently solving challenging optimization problems.” 2011. Web. 16 Jul 2019.

Vancouver:

Esmailzadeh A. Novel opposition-based sampling methods for efficiently solving challenging optimization problems. [Internet] [Thesis]. University of Ontario Institute of Technology; 2011. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10155/150.

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

Council of Science Editors:

Esmailzadeh A. Novel opposition-based sampling methods for efficiently solving challenging optimization problems. [Thesis]. University of Ontario Institute of Technology; 2011. Available from: http://hdl.handle.net/10155/150

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


Anna University

25. Miruna Joe Amali S. Diversity controlled parameter adaptation in differential evolution algorithm;.

Degree: Diversity controlled parameter adaptation in differential evolution algorithm, 2014, Anna University

Optimization problems are available in all branches of industry or society like in product and process design production logistics traffic control and strategic planning In… (more)

Subjects/Keywords: Differential evolution algorithm; Evolutionary Algorithms; Information and communication engineering

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

APA (6th Edition):

S, M. J. A. (2014). Diversity controlled parameter adaptation in differential evolution algorithm;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/23582

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, Miruna Joe Amali. “Diversity controlled parameter adaptation in differential evolution algorithm;.” 2014. Thesis, Anna University. Accessed July 16, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/23582.

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

MLA Handbook (7th Edition):

S, Miruna Joe Amali. “Diversity controlled parameter adaptation in differential evolution algorithm;.” 2014. Web. 16 Jul 2019.

Vancouver:

S MJA. Diversity controlled parameter adaptation in differential evolution algorithm;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jul 16]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23582.

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

Council of Science Editors:

S MJA. Diversity controlled parameter adaptation in differential evolution algorithm;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23582

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


Anna University

26. Miruna Joe Amali S. Diversity controlled parameter adaptation in differential evolution algorithm;.

Degree: Diversity controlled parameter adaptation in differential evolution algorithm, 2014, Anna University

Optimization problems are available in all branches of industry or society like in product and process design production logistics traffic control and strategic planning In… (more)

Subjects/Keywords: Differential evolution algorithm; Evolutionary Algorithms; Information and communication engineering

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

APA (6th Edition):

S, M. J. A. (2014). Diversity controlled parameter adaptation in differential evolution algorithm;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/23583

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, Miruna Joe Amali. “Diversity controlled parameter adaptation in differential evolution algorithm;.” 2014. Thesis, Anna University. Accessed July 16, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/23583.

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

MLA Handbook (7th Edition):

S, Miruna Joe Amali. “Diversity controlled parameter adaptation in differential evolution algorithm;.” 2014. Web. 16 Jul 2019.

Vancouver:

S MJA. Diversity controlled parameter adaptation in differential evolution algorithm;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Jul 16]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23583.

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

Council of Science Editors:

S MJA. Diversity controlled parameter adaptation in differential evolution algorithm;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23583

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


University of Oulu

27. Selek, I. (István). Novel evolutionary methods in engineering optimization—towards robustness and efficiency.

Degree: 2009, University of Oulu

 Abstract In industry there is a high demand for algorithms that can efficiently solve search problems. Evolutionary Computing (EC) belonging to a class of heuristics… (more)

Subjects/Keywords: evolutionary algorithm; neutrality; objective function transformation; redundancy; scheduling

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APA (6th Edition):

Selek, I. (. (2009). Novel evolutionary methods in engineering optimization—towards robustness and efficiency. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789514291579

Chicago Manual of Style (16th Edition):

Selek, I (István). “Novel evolutionary methods in engineering optimization—towards robustness and efficiency.” 2009. Doctoral Dissertation, University of Oulu. Accessed July 16, 2019. http://urn.fi/urn:isbn:9789514291579.

MLA Handbook (7th Edition):

Selek, I (István). “Novel evolutionary methods in engineering optimization—towards robustness and efficiency.” 2009. Web. 16 Jul 2019.

Vancouver:

Selek I(. Novel evolutionary methods in engineering optimization—towards robustness and efficiency. [Internet] [Doctoral dissertation]. University of Oulu; 2009. [cited 2019 Jul 16]. Available from: http://urn.fi/urn:isbn:9789514291579.

Council of Science Editors:

Selek I(. Novel evolutionary methods in engineering optimization—towards robustness and efficiency. [Doctoral Dissertation]. University of Oulu; 2009. Available from: http://urn.fi/urn:isbn:9789514291579


Anna University

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

Degree: Electrical and Electronics, 2012, Anna University

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

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

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

A, Soundarrajan. “Investigations on the applications of intelligent controllers for voltage and frequency control in power generating systems.” 2012. Thesis, Anna University. Accessed July 16, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/9828.

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

MLA Handbook (7th Edition):

A, Soundarrajan. “Investigations on the applications of intelligent controllers for voltage and frequency control in power generating systems.” 2012. Web. 16 Jul 2019.

Vancouver:

A S. Investigations on the applications of intelligent controllers for voltage and frequency control in power generating systems. [Internet] [Thesis]. Anna University; 2012. [cited 2019 Jul 16]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9828.

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

Council of Science Editors:

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

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


KTH

29. Hyyrynen, Fredrik. A performance study of anevolutionary algorithm for twopoint stock forecasting.

Degree: Computer Science and Communication (CSC), 2017, KTH

This study was conducted to conclude whether or not it was possible to accurately predict stock behavior by analyzing general patterns in historical stock… (more)

Subjects/Keywords: Stock; Forecasting; Evolutionary; Algorithm; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Hyyrynen, F. (2017). A performance study of anevolutionary algorithm for twopoint stock forecasting. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208376

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):

Hyyrynen, Fredrik. “A performance study of anevolutionary algorithm for twopoint stock forecasting.” 2017. Thesis, KTH. Accessed July 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208376.

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

MLA Handbook (7th Edition):

Hyyrynen, Fredrik. “A performance study of anevolutionary algorithm for twopoint stock forecasting.” 2017. Web. 16 Jul 2019.

Vancouver:

Hyyrynen F. A performance study of anevolutionary algorithm for twopoint stock forecasting. [Internet] [Thesis]. KTH; 2017. [cited 2019 Jul 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208376.

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

Council of Science Editors:

Hyyrynen F. A performance study of anevolutionary algorithm for twopoint stock forecasting. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208376

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


NSYSU

30. Kang, Chun-ting. A Quantum-Inspired Evolutionary Algorithm Based Clustering Method for Wireless Sensor Networks.

Degree: Master, Computer Science and Engineering, 2016, NSYSU

 Wireless sensor network (WSN) is one of the most promising and well-known technologies, which has a very broad range of applications. However, to make it… (more)

Subjects/Keywords: quantum-inspired evolutionary algorithm; Wireless sensor network; LEACH; metaheuristics

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APA (6th Edition):

Kang, C. (2016). A Quantum-Inspired Evolutionary Algorithm Based Clustering Method for Wireless Sensor Networks. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0115116-163355

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):

Kang, Chun-ting. “A Quantum-Inspired Evolutionary Algorithm Based Clustering Method for Wireless Sensor Networks.” 2016. Thesis, NSYSU. Accessed July 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0115116-163355.

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

MLA Handbook (7th Edition):

Kang, Chun-ting. “A Quantum-Inspired Evolutionary Algorithm Based Clustering Method for Wireless Sensor Networks.” 2016. Web. 16 Jul 2019.

Vancouver:

Kang C. A Quantum-Inspired Evolutionary Algorithm Based Clustering Method for Wireless Sensor Networks. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Jul 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0115116-163355.

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

Council of Science Editors:

Kang C. A Quantum-Inspired Evolutionary Algorithm Based Clustering Method for Wireless Sensor Networks. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0115116-163355

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

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