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1. Satishkumar, M V. Simultaneous scheduling of machines and Agvs using evolutionary optimization algorithms.
Degree: 2010, Jawaharlal Nehru Technological University
URL: http://shodhganga.inflibnet.ac.in/handle/10603/2255
Subjects/Keywords: Genetic Algorithms
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APA (6th Edition):
Satishkumar, M. V. (2010). Simultaneous scheduling of machines and Agvs using evolutionary optimization algorithms. (Thesis). Jawaharlal Nehru Technological University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/2255
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):
Satishkumar, M V. “Simultaneous scheduling of machines and Agvs using evolutionary optimization algorithms.” 2010. Thesis, Jawaharlal Nehru Technological University. Accessed February 26, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/2255.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Satishkumar, M V. “Simultaneous scheduling of machines and Agvs using evolutionary optimization algorithms.” 2010. Web. 26 Feb 2021.
Vancouver:
Satishkumar MV. Simultaneous scheduling of machines and Agvs using evolutionary optimization algorithms. [Internet] [Thesis]. Jawaharlal Nehru Technological University; 2010. [cited 2021 Feb 26]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/2255.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Satishkumar MV. Simultaneous scheduling of machines and Agvs using evolutionary optimization algorithms. [Thesis]. Jawaharlal Nehru Technological University; 2010. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/2255
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Ryerson University
2. Hajipour, Yassin. Non-periodic inspection of optimization of repairable systems.
Degree: 2016, Ryerson University
URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A5215
Subjects/Keywords: Inspections; Genetic algorithms
Record Details
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APA (6th Edition):
Hajipour, Y. (2016). Non-periodic inspection of optimization of repairable systems. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A5215
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):
Hajipour, Yassin. “Non-periodic inspection of optimization of repairable systems.” 2016. Thesis, Ryerson University. Accessed February 26, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A5215.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Hajipour, Yassin. “Non-periodic inspection of optimization of repairable systems.” 2016. Web. 26 Feb 2021.
Vancouver:
Hajipour Y. Non-periodic inspection of optimization of repairable systems. [Internet] [Thesis]. Ryerson University; 2016. [cited 2021 Feb 26]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A5215.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Hajipour Y. Non-periodic inspection of optimization of repairable systems. [Thesis]. Ryerson University; 2016. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A5215
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Rochester Institute of Technology
3. Lamos-Sweeney, Joshua. Deep learning using genetic algorithms.
Degree: Computer Science (GCCIS), 2012, Rochester Institute of Technology
URL: https://scholarworks.rit.edu/theses/254
Subjects/Keywords: Deep learning; Genetic algorithms
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APA (6th Edition):
Lamos-Sweeney, J. (2012). Deep learning using genetic algorithms. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/254
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):
Lamos-Sweeney, Joshua. “Deep learning using genetic algorithms.” 2012. Thesis, Rochester Institute of Technology. Accessed February 26, 2021. https://scholarworks.rit.edu/theses/254.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Lamos-Sweeney, Joshua. “Deep learning using genetic algorithms.” 2012. Web. 26 Feb 2021.
Vancouver:
Lamos-Sweeney J. Deep learning using genetic algorithms. [Internet] [Thesis]. Rochester Institute of Technology; 2012. [cited 2021 Feb 26]. Available from: https://scholarworks.rit.edu/theses/254.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Lamos-Sweeney J. Deep learning using genetic algorithms. [Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/254
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Alberta
4. Shu, Lingyan. The impact of data structures on the performance of genetic-algorithm-based learning.
Degree: PhD, Department of Computing Science, 1992, University of Alberta
URL: https://era.library.ualberta.ca/files/bg257h66m
Subjects/Keywords: Genetic algorithms.
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APA (6th Edition):
Shu, L. (1992). The impact of data structures on the performance of genetic-algorithm-based learning. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/bg257h66m
Chicago Manual of Style (16th Edition):
Shu, Lingyan. “The impact of data structures on the performance of genetic-algorithm-based learning.” 1992. Doctoral Dissertation, University of Alberta. Accessed February 26, 2021. https://era.library.ualberta.ca/files/bg257h66m.
MLA Handbook (7th Edition):
Shu, Lingyan. “The impact of data structures on the performance of genetic-algorithm-based learning.” 1992. Web. 26 Feb 2021.
Vancouver:
Shu L. The impact of data structures on the performance of genetic-algorithm-based learning. [Internet] [Doctoral dissertation]. University of Alberta; 1992. [cited 2021 Feb 26]. Available from: https://era.library.ualberta.ca/files/bg257h66m.
Council of Science Editors:
Shu L. The impact of data structures on the performance of genetic-algorithm-based learning. [Doctoral Dissertation]. University of Alberta; 1992. Available from: https://era.library.ualberta.ca/files/bg257h66m
Texas A&M University
5. Kumar, Akansha. An Iterative Optimization Method Using Genetic Algorithms and Gaussian Process Based Regression in Nuclear Reactor Design Applications.
Degree: PhD, Nuclear Engineering, 2016, Texas A&M University
URL: http://hdl.handle.net/1969.1/159121
Subjects/Keywords: genetic algorithms; optimization; nuclear; reactor
Record Details
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APA (6th Edition):
Kumar, A. (2016). An Iterative Optimization Method Using Genetic Algorithms and Gaussian Process Based Regression in Nuclear Reactor Design Applications. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/159121
Chicago Manual of Style (16th Edition):
Kumar, Akansha. “An Iterative Optimization Method Using Genetic Algorithms and Gaussian Process Based Regression in Nuclear Reactor Design Applications.” 2016. Doctoral Dissertation, Texas A&M University. Accessed February 26, 2021. http://hdl.handle.net/1969.1/159121.
MLA Handbook (7th Edition):
Kumar, Akansha. “An Iterative Optimization Method Using Genetic Algorithms and Gaussian Process Based Regression in Nuclear Reactor Design Applications.” 2016. Web. 26 Feb 2021.
Vancouver:
Kumar A. An Iterative Optimization Method Using Genetic Algorithms and Gaussian Process Based Regression in Nuclear Reactor Design Applications. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1969.1/159121.
Council of Science Editors:
Kumar A. An Iterative Optimization Method Using Genetic Algorithms and Gaussian Process Based Regression in Nuclear Reactor Design Applications. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/159121
Texas A&M University
6. Gibbs, Trevor Howard. Horizontal Well Placement Optimization in Gas Reservoirs Using Genetic Algorithms.
Degree: MS, Petroleum Engineering, 2011, Texas A&M University
URL: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-399
Subjects/Keywords: genetic; algorithms; optimization; well placement
Record Details
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APA (6th Edition):
Gibbs, T. H. (2011). Horizontal Well Placement Optimization in Gas Reservoirs Using Genetic Algorithms. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-399
Chicago Manual of Style (16th Edition):
Gibbs, Trevor Howard. “Horizontal Well Placement Optimization in Gas Reservoirs Using Genetic Algorithms.” 2011. Masters Thesis, Texas A&M University. Accessed February 26, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-399.
MLA Handbook (7th Edition):
Gibbs, Trevor Howard. “Horizontal Well Placement Optimization in Gas Reservoirs Using Genetic Algorithms.” 2011. Web. 26 Feb 2021.
Vancouver:
Gibbs TH. Horizontal Well Placement Optimization in Gas Reservoirs Using Genetic Algorithms. [Internet] [Masters thesis]. Texas A&M University; 2011. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-399.
Council of Science Editors:
Gibbs TH. Horizontal Well Placement Optimization in Gas Reservoirs Using Genetic Algorithms. [Masters Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-399
Nelson Mandela Metropolitan University
7. Buys, Stefan. Genetic algorithm for Artificial Neural Network training for the purpose of Automated Part Recognition.
Degree: Faculty of Engineering, the Built Environment and Information Technology, 2012, Nelson Mandela Metropolitan University
URL: http://hdl.handle.net/10948/d1008356
Subjects/Keywords: Genetic algorithms; Software architecture
Record Details
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APA (6th Edition):
Buys, S. (2012). Genetic algorithm for Artificial Neural Network training for the purpose of Automated Part Recognition. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/d1008356
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):
Buys, Stefan. “Genetic algorithm for Artificial Neural Network training for the purpose of Automated Part Recognition.” 2012. Thesis, Nelson Mandela Metropolitan University. Accessed February 26, 2021. http://hdl.handle.net/10948/d1008356.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Buys, Stefan. “Genetic algorithm for Artificial Neural Network training for the purpose of Automated Part Recognition.” 2012. Web. 26 Feb 2021.
Vancouver:
Buys S. Genetic algorithm for Artificial Neural Network training for the purpose of Automated Part Recognition. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2012. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10948/d1008356.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Buys S. Genetic algorithm for Artificial Neural Network training for the purpose of Automated Part Recognition. [Thesis]. Nelson Mandela Metropolitan University; 2012. Available from: http://hdl.handle.net/10948/d1008356
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Oregon State University
8. Dill, Karen M. Growing digital circuits : logic synthesis and minimization with genetic operators.
Degree: MS, Electrical and Computer Engineering, 1996, Oregon State University
URL: http://hdl.handle.net/1957/34241
Subjects/Keywords: Genetic algorithms
Record Details
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APA (6th Edition):
Dill, K. M. (1996). Growing digital circuits : logic synthesis and minimization with genetic operators. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/34241
Chicago Manual of Style (16th Edition):
Dill, Karen M. “Growing digital circuits : logic synthesis and minimization with genetic operators.” 1996. Masters Thesis, Oregon State University. Accessed February 26, 2021. http://hdl.handle.net/1957/34241.
MLA Handbook (7th Edition):
Dill, Karen M. “Growing digital circuits : logic synthesis and minimization with genetic operators.” 1996. Web. 26 Feb 2021.
Vancouver:
Dill KM. Growing digital circuits : logic synthesis and minimization with genetic operators. [Internet] [Masters thesis]. Oregon State University; 1996. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1957/34241.
Council of Science Editors:
Dill KM. Growing digital circuits : logic synthesis and minimization with genetic operators. [Masters Thesis]. Oregon State University; 1996. Available from: http://hdl.handle.net/1957/34241
Oregon State University
9. Canpolat, Necati. Optimization of seasonal irrigation scheduling by genetic algorithms.
Degree: PhD, Bioresource Engineering, 1997, Oregon State University
URL: http://hdl.handle.net/1957/34323
Subjects/Keywords: Genetic algorithms
Record Details
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APA (6th Edition):
Canpolat, N. (1997). Optimization of seasonal irrigation scheduling by genetic algorithms. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/34323
Chicago Manual of Style (16th Edition):
Canpolat, Necati. “Optimization of seasonal irrigation scheduling by genetic algorithms.” 1997. Doctoral Dissertation, Oregon State University. Accessed February 26, 2021. http://hdl.handle.net/1957/34323.
MLA Handbook (7th Edition):
Canpolat, Necati. “Optimization of seasonal irrigation scheduling by genetic algorithms.” 1997. Web. 26 Feb 2021.
Vancouver:
Canpolat N. Optimization of seasonal irrigation scheduling by genetic algorithms. [Internet] [Doctoral dissertation]. Oregon State University; 1997. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1957/34323.
Council of Science Editors:
Canpolat N. Optimization of seasonal irrigation scheduling by genetic algorithms. [Doctoral Dissertation]. Oregon State University; 1997. Available from: http://hdl.handle.net/1957/34323
University of Guelph
10. Brown, Joseph Alexander. Regression and Classification from Extinction.
Degree: PhD, School of Computer Science, 2014, University of Guelph
URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7793
Subjects/Keywords: Genetic Algorithms; Bioinformatics; Evolutionary Computation
Record Details
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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 February 26, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7793.
MLA Handbook (7th Edition):
Brown, Joseph Alexander. “Regression and Classification from Extinction.” 2014. Web. 26 Feb 2021.
Vancouver:
Brown JA. Regression and Classification from Extinction. [Internet] [Doctoral dissertation]. University of Guelph; 2014. [cited 2021 Feb 26]. 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
11. Sullivan, Nicholas David. Task Allocation and Collaborative Localisation in Multi-Robot Systems.
Degree: 2019, University of Adelaide
URL: http://hdl.handle.net/2440/120578
Subjects/Keywords: multi-robot; genetic algorithms; localisation
Record Details
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APA (6th Edition):
Sullivan, N. D. (2019). Task Allocation and Collaborative Localisation in Multi-Robot Systems. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/120578
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):
Sullivan, Nicholas David. “Task Allocation and Collaborative Localisation in Multi-Robot Systems.” 2019. Thesis, University of Adelaide. Accessed February 26, 2021. http://hdl.handle.net/2440/120578.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Sullivan, Nicholas David. “Task Allocation and Collaborative Localisation in Multi-Robot Systems.” 2019. Web. 26 Feb 2021.
Vancouver:
Sullivan ND. Task Allocation and Collaborative Localisation in Multi-Robot Systems. [Internet] [Thesis]. University of Adelaide; 2019. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/2440/120578.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Sullivan ND. Task Allocation and Collaborative Localisation in Multi-Robot Systems. [Thesis]. University of Adelaide; 2019. Available from: http://hdl.handle.net/2440/120578
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chapman University
12.
James, Kevin.
Estimating Auction Equilibria using Individual Evolutionary Learning.
Degree: PhD, Computational and Data Sciences, 2019, Chapman University
URL: https://digitalcommons.chapman.edu/cads_dissertations/1
Subjects/Keywords: genetic algorithms; Behavioral Economics
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APA (6th Edition):
James, K. (2019). Estimating Auction Equilibria using Individual Evolutionary Learning. (Doctoral Dissertation). Chapman University. Retrieved from https://digitalcommons.chapman.edu/cads_dissertations/1
Chicago Manual of Style (16th Edition):
James, Kevin. “Estimating Auction Equilibria using Individual Evolutionary Learning.” 2019. Doctoral Dissertation, Chapman University. Accessed February 26, 2021. https://digitalcommons.chapman.edu/cads_dissertations/1.
MLA Handbook (7th Edition):
James, Kevin. “Estimating Auction Equilibria using Individual Evolutionary Learning.” 2019. Web. 26 Feb 2021.
Vancouver:
James K. Estimating Auction Equilibria using Individual Evolutionary Learning. [Internet] [Doctoral dissertation]. Chapman University; 2019. [cited 2021 Feb 26]. Available from: https://digitalcommons.chapman.edu/cads_dissertations/1.
Council of Science Editors:
James K. Estimating Auction Equilibria using Individual Evolutionary Learning. [Doctoral Dissertation]. Chapman University; 2019. Available from: https://digitalcommons.chapman.edu/cads_dissertations/1
Hong Kong University of Science and Technology
13. Law, Nga Lam. Parameter-free adaptive genetic algorithm.
Degree: 2007, Hong Kong University of Science and Technology
URL: http://repository.ust.hk/ir/Record/1783.1-5471
;
https://doi.org/10.14711/thesis-b987302
;
http://repository.ust.hk/ir/bitstream/1783.1-5471/1/th_redirect.html
Subjects/Keywords: Genetic algorithms
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Law, N. L. (2007). Parameter-free adaptive genetic algorithm. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-5471 ; https://doi.org/10.14711/thesis-b987302 ; http://repository.ust.hk/ir/bitstream/1783.1-5471/1/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):
Law, Nga Lam. “Parameter-free adaptive genetic algorithm.” 2007. Thesis, Hong Kong University of Science and Technology. Accessed February 26, 2021. http://repository.ust.hk/ir/Record/1783.1-5471 ; https://doi.org/10.14711/thesis-b987302 ; http://repository.ust.hk/ir/bitstream/1783.1-5471/1/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):
Law, Nga Lam. “Parameter-free adaptive genetic algorithm.” 2007. Web. 26 Feb 2021.
Vancouver:
Law NL. Parameter-free adaptive genetic algorithm. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2007. [cited 2021 Feb 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-5471 ; https://doi.org/10.14711/thesis-b987302 ; http://repository.ust.hk/ir/bitstream/1783.1-5471/1/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:
Law NL. Parameter-free adaptive genetic algorithm. [Thesis]. Hong Kong University of Science and Technology; 2007. Available from: http://repository.ust.hk/ir/Record/1783.1-5471 ; https://doi.org/10.14711/thesis-b987302 ; http://repository.ust.hk/ir/bitstream/1783.1-5471/1/th_redirect.html
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Michigan State University
14. Buyukbozkirli, Bulent. Modeling genetic algorithm dynamics for OneMax and deceptive functions.
Degree: PhD, Department of Mathematics, 2004, Michigan State University
URL: http://etd.lib.msu.edu/islandora/object/etd:32812
Subjects/Keywords: Genetic algorithms
Record Details
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APA (6th Edition):
Buyukbozkirli, B. (2004). Modeling genetic algorithm dynamics for OneMax and deceptive functions. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:32812
Chicago Manual of Style (16th Edition):
Buyukbozkirli, Bulent. “Modeling genetic algorithm dynamics for OneMax and deceptive functions.” 2004. Doctoral Dissertation, Michigan State University. Accessed February 26, 2021. http://etd.lib.msu.edu/islandora/object/etd:32812.
MLA Handbook (7th Edition):
Buyukbozkirli, Bulent. “Modeling genetic algorithm dynamics for OneMax and deceptive functions.” 2004. Web. 26 Feb 2021.
Vancouver:
Buyukbozkirli B. Modeling genetic algorithm dynamics for OneMax and deceptive functions. [Internet] [Doctoral dissertation]. Michigan State University; 2004. [cited 2021 Feb 26]. Available from: http://etd.lib.msu.edu/islandora/object/etd:32812.
Council of Science Editors:
Buyukbozkirli B. Modeling genetic algorithm dynamics for OneMax and deceptive functions. [Doctoral Dissertation]. Michigan State University; 2004. Available from: http://etd.lib.msu.edu/islandora/object/etd:32812
Michigan State University
15. Pei, Huafeng. A comparison of cohort GA with canonical serial and island-model distributed GA's.
Degree: MS, Department of Electrical and Computer Engineering, 2000, Michigan State University
URL: http://etd.lib.msu.edu/islandora/object/etd:30589
Subjects/Keywords: Genetic algorithms
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Pei, H. (2000). A comparison of cohort GA with canonical serial and island-model distributed GA's. (Masters Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:30589
Chicago Manual of Style (16th Edition):
Pei, Huafeng. “A comparison of cohort GA with canonical serial and island-model distributed GA's.” 2000. Masters Thesis, Michigan State University. Accessed February 26, 2021. http://etd.lib.msu.edu/islandora/object/etd:30589.
MLA Handbook (7th Edition):
Pei, Huafeng. “A comparison of cohort GA with canonical serial and island-model distributed GA's.” 2000. Web. 26 Feb 2021.
Vancouver:
Pei H. A comparison of cohort GA with canonical serial and island-model distributed GA's. [Internet] [Masters thesis]. Michigan State University; 2000. [cited 2021 Feb 26]. Available from: http://etd.lib.msu.edu/islandora/object/etd:30589.
Council of Science Editors:
Pei H. A comparison of cohort GA with canonical serial and island-model distributed GA's. [Masters Thesis]. Michigan State University; 2000. Available from: http://etd.lib.msu.edu/islandora/object/etd:30589
Montana State University
16. Hayes, Christina Savannah Maria. Generic properties of the infinite population genetic algorithm.
Degree: PhD, College of Letters & Science, 2006, Montana State University
URL: https://scholarworks.montana.edu/xmlui/handle/1/1448
Subjects/Keywords: Genetic algorithms.
Record Details
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APA (6th Edition):
Hayes, C. S. M. (2006). Generic properties of the infinite population genetic algorithm. (Doctoral Dissertation). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/1448
Chicago Manual of Style (16th Edition):
Hayes, Christina Savannah Maria. “Generic properties of the infinite population genetic algorithm.” 2006. Doctoral Dissertation, Montana State University. Accessed February 26, 2021. https://scholarworks.montana.edu/xmlui/handle/1/1448.
MLA Handbook (7th Edition):
Hayes, Christina Savannah Maria. “Generic properties of the infinite population genetic algorithm.” 2006. Web. 26 Feb 2021.
Vancouver:
Hayes CSM. Generic properties of the infinite population genetic algorithm. [Internet] [Doctoral dissertation]. Montana State University; 2006. [cited 2021 Feb 26]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/1448.
Council of Science Editors:
Hayes CSM. Generic properties of the infinite population genetic algorithm. [Doctoral Dissertation]. Montana State University; 2006. Available from: https://scholarworks.montana.edu/xmlui/handle/1/1448
Montana State University
17. Pamplin, Trenton L. Hybridizing statistics with genetic algorithms.
Degree: MS, College of Letters & Science, 1995, Montana State University
URL: https://scholarworks.montana.edu/xmlui/handle/1/7586
Subjects/Keywords: Genetic algorithms.
Record Details
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APA (6th Edition):
Pamplin, T. L. (1995). Hybridizing statistics with genetic algorithms. (Masters Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/7586
Chicago Manual of Style (16th Edition):
Pamplin, Trenton L. “Hybridizing statistics with genetic algorithms.” 1995. Masters Thesis, Montana State University. Accessed February 26, 2021. https://scholarworks.montana.edu/xmlui/handle/1/7586.
MLA Handbook (7th Edition):
Pamplin, Trenton L. “Hybridizing statistics with genetic algorithms.” 1995. Web. 26 Feb 2021.
Vancouver:
Pamplin TL. Hybridizing statistics with genetic algorithms. [Internet] [Masters thesis]. Montana State University; 1995. [cited 2021 Feb 26]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/7586.
Council of Science Editors:
Pamplin TL. Hybridizing statistics with genetic algorithms. [Masters Thesis]. Montana State University; 1995. Available from: https://scholarworks.montana.edu/xmlui/handle/1/7586
18. Henshall, Gareth. Optimising kinematic systems using crowd-sourcing and genetic algorithms.
Degree: PhD, 2019, Bangor University
URL: https://research.bangor.ac.uk/portal/en/theses/optimising-kinematic-systems-using-crowdsourcing-and-genetic-algorithms(788570df-afc1-49d6-abad-965cf8370d6d).html
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782099
Subjects/Keywords: optimisation; crowd-sourcing; genetic algorithms
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Henshall, G. (2019). Optimising kinematic systems using crowd-sourcing and genetic algorithms. (Doctoral Dissertation). Bangor University. Retrieved from https://research.bangor.ac.uk/portal/en/theses/optimising-kinematic-systems-using-crowdsourcing-and-genetic-algorithms(788570df-afc1-49d6-abad-965cf8370d6d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782099
Chicago Manual of Style (16th Edition):
Henshall, Gareth. “Optimising kinematic systems using crowd-sourcing and genetic algorithms.” 2019. Doctoral Dissertation, Bangor University. Accessed February 26, 2021. https://research.bangor.ac.uk/portal/en/theses/optimising-kinematic-systems-using-crowdsourcing-and-genetic-algorithms(788570df-afc1-49d6-abad-965cf8370d6d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782099.
MLA Handbook (7th Edition):
Henshall, Gareth. “Optimising kinematic systems using crowd-sourcing and genetic algorithms.” 2019. Web. 26 Feb 2021.
Vancouver:
Henshall G. Optimising kinematic systems using crowd-sourcing and genetic algorithms. [Internet] [Doctoral dissertation]. Bangor University; 2019. [cited 2021 Feb 26]. Available from: https://research.bangor.ac.uk/portal/en/theses/optimising-kinematic-systems-using-crowdsourcing-and-genetic-algorithms(788570df-afc1-49d6-abad-965cf8370d6d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782099.
Council of Science Editors:
Henshall G. Optimising kinematic systems using crowd-sourcing and genetic algorithms. [Doctoral Dissertation]. Bangor University; 2019. Available from: https://research.bangor.ac.uk/portal/en/theses/optimising-kinematic-systems-using-crowdsourcing-and-genetic-algorithms(788570df-afc1-49d6-abad-965cf8370d6d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782099
University of New South Wales
19.
Chi, Tzi-Chieh.
Evolutionary adaptation and optimisation in heterogeneous and homogeneous aerial search vehicles.
Degree: Mechanical & Manufacturing Engineering, 2015, University of New South Wales
URL: http://handle.unsw.edu.au/1959.4/54276
;
https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34575/SOURCE02?view=true
Subjects/Keywords: Genetic Algorithms; Swarm; Self-Organising
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Chi, T. (2015). Evolutionary adaptation and optimisation in heterogeneous and homogeneous aerial search vehicles. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/54276 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34575/SOURCE02?view=true
Chicago Manual of Style (16th Edition):
Chi, Tzi-Chieh. “Evolutionary adaptation and optimisation in heterogeneous and homogeneous aerial search vehicles.” 2015. Masters Thesis, University of New South Wales. Accessed February 26, 2021. http://handle.unsw.edu.au/1959.4/54276 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34575/SOURCE02?view=true.
MLA Handbook (7th Edition):
Chi, Tzi-Chieh. “Evolutionary adaptation and optimisation in heterogeneous and homogeneous aerial search vehicles.” 2015. Web. 26 Feb 2021.
Vancouver:
Chi T. Evolutionary adaptation and optimisation in heterogeneous and homogeneous aerial search vehicles. [Internet] [Masters thesis]. University of New South Wales; 2015. [cited 2021 Feb 26]. Available from: http://handle.unsw.edu.au/1959.4/54276 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34575/SOURCE02?view=true.
Council of Science Editors:
Chi T. Evolutionary adaptation and optimisation in heterogeneous and homogeneous aerial search vehicles. [Masters Thesis]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/54276 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34575/SOURCE02?view=true
University of Oklahoma
20. Carlson, Benjamin. Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms.
Degree: PhD, 2016, University of Oklahoma
URL: http://hdl.handle.net/11244/34654
Subjects/Keywords: Heuristics; Genetic Algorithms; Evolutionary Computation
Record Details
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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 February 26, 2021. 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. 26 Feb 2021.
Vancouver:
Carlson B. Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2021 Feb 26]. 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
University of Missouri – Columbia
21.
Shi, Zhuoqun.
Improved genetic algorithm for distribution system performance analysis.
Degree: 2017, University of Missouri – Columbia
URL: http://hdl.handle.net/10355/62087
Subjects/Keywords: Genetic algorithms; Performance – Analysis
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Shi, Z. (2017). Improved genetic algorithm for distribution system performance analysis. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/62087
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):
Shi, Zhuoqun. “Improved genetic algorithm for distribution system performance analysis.” 2017. Thesis, University of Missouri – Columbia. Accessed February 26, 2021. http://hdl.handle.net/10355/62087.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Shi, Zhuoqun. “Improved genetic algorithm for distribution system performance analysis.” 2017. Web. 26 Feb 2021.
Vancouver:
Shi Z. Improved genetic algorithm for distribution system performance analysis. [Internet] [Thesis]. University of Missouri – Columbia; 2017. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10355/62087.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Shi Z. Improved genetic algorithm for distribution system performance analysis. [Thesis]. University of Missouri – Columbia; 2017. Available from: http://hdl.handle.net/10355/62087
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Ryerson University
22. Jirasek, Lubomir. A genetic algorithm based partition generation and optimization method for finite element problems.
Degree: 2009, Ryerson University
URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A1387
Subjects/Keywords: Genetic algorithms; Genetic programming (Computer science)
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Jirasek, L. (2009). A genetic algorithm based partition generation and optimization method for finite element problems. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1387
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):
Jirasek, Lubomir. “A genetic algorithm based partition generation and optimization method for finite element problems.” 2009. Thesis, Ryerson University. Accessed February 26, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A1387.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Jirasek, Lubomir. “A genetic algorithm based partition generation and optimization method for finite element problems.” 2009. Web. 26 Feb 2021.
Vancouver:
Jirasek L. A genetic algorithm based partition generation and optimization method for finite element problems. [Internet] [Thesis]. Ryerson University; 2009. [cited 2021 Feb 26]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1387.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Jirasek L. A genetic algorithm based partition generation and optimization method for finite element problems. [Thesis]. Ryerson University; 2009. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1387
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Ryerson University
23. Gebremariam, Michael. Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm.
Degree: 2010, Ryerson University
URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A6075
Subjects/Keywords: Genetic programming (Computer science); Genetic algorithms
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Gebremariam, M. (2010). Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6075
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):
Gebremariam, Michael. “Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm.” 2010. Thesis, Ryerson University. Accessed February 26, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A6075.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Gebremariam, Michael. “Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm.” 2010. Web. 26 Feb 2021.
Vancouver:
Gebremariam M. Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm. [Internet] [Thesis]. Ryerson University; 2010. [cited 2021 Feb 26]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6075.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Gebremariam M. Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm. [Thesis]. Ryerson University; 2010. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6075
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Stirling
24. Oaken, David R. Optimisation of Definition Structures & Parameter Values in Process Algebra Models Using Evolutionary Computation.
Degree: PhD, 2014, University of Stirling
URL: http://hdl.handle.net/1893/21206
Subjects/Keywords: genetic algorithms; process algebra; genetic programming; optimisation; Genetic algorithms; Algebra; Genetic programming (Computer science); Optimisation
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Oaken, D. R. (2014). Optimisation of Definition Structures & Parameter Values in Process Algebra Models Using Evolutionary Computation. (Doctoral Dissertation). University of Stirling. Retrieved from http://hdl.handle.net/1893/21206
Chicago Manual of Style (16th Edition):
Oaken, David R. “Optimisation of Definition Structures & Parameter Values in Process Algebra Models Using Evolutionary Computation.” 2014. Doctoral Dissertation, University of Stirling. Accessed February 26, 2021. http://hdl.handle.net/1893/21206.
MLA Handbook (7th Edition):
Oaken, David R. “Optimisation of Definition Structures & Parameter Values in Process Algebra Models Using Evolutionary Computation.” 2014. Web. 26 Feb 2021.
Vancouver:
Oaken DR. Optimisation of Definition Structures & Parameter Values in Process Algebra Models Using Evolutionary Computation. [Internet] [Doctoral dissertation]. University of Stirling; 2014. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1893/21206.
Council of Science Editors:
Oaken DR. Optimisation of Definition Structures & Parameter Values in Process Algebra Models Using Evolutionary Computation. [Doctoral Dissertation]. University of Stirling; 2014. Available from: http://hdl.handle.net/1893/21206
25.
Jose, Sonu.
Bayesian Network Structure Learning and its Application on Simulation-based Learning.
Degree: 2020, University of Nevada – Reno
URL: http://hdl.handle.net/11714/7674
Subjects/Keywords: Bayesian networks; Case-injected Genetic Algorithms; Genetic Algorithms; Inference; Structure Learning
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Jose, S. (2020). Bayesian Network Structure Learning and its Application on Simulation-based Learning. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/7674
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):
Jose, Sonu. “Bayesian Network Structure Learning and its Application on Simulation-based Learning.” 2020. Thesis, University of Nevada – Reno. Accessed February 26, 2021. http://hdl.handle.net/11714/7674.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Jose, Sonu. “Bayesian Network Structure Learning and its Application on Simulation-based Learning.” 2020. Web. 26 Feb 2021.
Vancouver:
Jose S. Bayesian Network Structure Learning and its Application on Simulation-based Learning. [Internet] [Thesis]. University of Nevada – Reno; 2020. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/11714/7674.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Jose S. Bayesian Network Structure Learning and its Application on Simulation-based Learning. [Thesis]. University of Nevada – Reno; 2020. Available from: http://hdl.handle.net/11714/7674
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Stirling
26. Neumann, Geoffrey K. TEDA: A Targeted Estimation of Distribution Algorithm.
Degree: PhD, School of Natural Sciences, 2014, University of Stirling
URL: http://hdl.handle.net/1893/20248
Subjects/Keywords: Evolutionary Algorithms; Genetic Algorithms; Estimation of Distribution Algorithms; Targeting; TEDA; FDC; Distribution (Probability theory); Genetic algorithms; Algorithms
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Neumann, G. K. (2014). TEDA: A Targeted Estimation of Distribution Algorithm. (Doctoral Dissertation). University of Stirling. Retrieved from http://hdl.handle.net/1893/20248
Chicago Manual of Style (16th Edition):
Neumann, Geoffrey K. “TEDA: A Targeted Estimation of Distribution Algorithm.” 2014. Doctoral Dissertation, University of Stirling. Accessed February 26, 2021. http://hdl.handle.net/1893/20248.
MLA Handbook (7th Edition):
Neumann, Geoffrey K. “TEDA: A Targeted Estimation of Distribution Algorithm.” 2014. Web. 26 Feb 2021.
Vancouver:
Neumann GK. TEDA: A Targeted Estimation of Distribution Algorithm. [Internet] [Doctoral dissertation]. University of Stirling; 2014. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1893/20248.
Council of Science Editors:
Neumann GK. TEDA: A Targeted Estimation of Distribution Algorithm. [Doctoral Dissertation]. University of Stirling; 2014. Available from: http://hdl.handle.net/1893/20248
27. Hafnaoui, Imane. Multimodal biometric fusion using evolutionary techniques.
Degree: 2014, Université M'Hamed Bougara Boumerdès
URL: http://dlibrary.univ-boumerdes.dz:8080123456789/1592
Subjects/Keywords: Genetic algorithms; Hybride; Fusion; Algorithmes génétiques
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Hafnaoui, I. (2014). Multimodal biometric fusion using evolutionary techniques. (Thesis). Université M'Hamed Bougara Boumerdès. Retrieved from http://dlibrary.univ-boumerdes.dz:8080123456789/1592
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):
Hafnaoui, Imane. “Multimodal biometric fusion using evolutionary techniques.” 2014. Thesis, Université M'Hamed Bougara Boumerdès. Accessed February 26, 2021. http://dlibrary.univ-boumerdes.dz:8080123456789/1592.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Hafnaoui, Imane. “Multimodal biometric fusion using evolutionary techniques.” 2014. Web. 26 Feb 2021.
Vancouver:
Hafnaoui I. Multimodal biometric fusion using evolutionary techniques. [Internet] [Thesis]. Université M'Hamed Bougara Boumerdès; 2014. [cited 2021 Feb 26]. Available from: http://dlibrary.univ-boumerdes.dz:8080123456789/1592.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Hafnaoui I. Multimodal biometric fusion using evolutionary techniques. [Thesis]. Université M'Hamed Bougara Boumerdès; 2014. Available from: http://dlibrary.univ-boumerdes.dz:8080123456789/1592
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
28. Brameier, Markus. On linear genetic programming.
Degree: 2004, Universität Dortmund
URL: http://hdl.handle.net/2003/20098
Subjects/Keywords: Evolutionary algorithms; Genetic programming; Machine learning; 004
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Brameier, M. (2004). On linear genetic programming. (Thesis). Universität Dortmund. Retrieved from http://hdl.handle.net/2003/20098
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Brameier, Markus. “On linear genetic programming.” 2004. Thesis, Universität Dortmund. Accessed February 26, 2021. http://hdl.handle.net/2003/20098.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Brameier, Markus. “On linear genetic programming.” 2004. Web. 26 Feb 2021.
Vancouver:
Brameier M. On linear genetic programming. [Internet] [Thesis]. Universität Dortmund; 2004. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/2003/20098.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Brameier M. On linear genetic programming. [Thesis]. Universität Dortmund; 2004. Available from: http://hdl.handle.net/2003/20098
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Ryerson University
29. Chan, Che-Hang Cliff. Actuator hysteresis modeling and compensation with an adaptive search space based genetic algorithm.
Degree: 2003, Ryerson University
URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A478
Subjects/Keywords: Genetic algorithms; Hysteresis
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Chan, C. C. (2003). Actuator hysteresis modeling and compensation with an adaptive search space based genetic algorithm. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A478
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):
Chan, Che-Hang Cliff. “Actuator hysteresis modeling and compensation with an adaptive search space based genetic algorithm.” 2003. Thesis, Ryerson University. Accessed February 26, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A478.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Chan, Che-Hang Cliff. “Actuator hysteresis modeling and compensation with an adaptive search space based genetic algorithm.” 2003. Web. 26 Feb 2021.
Vancouver:
Chan CC. Actuator hysteresis modeling and compensation with an adaptive search space based genetic algorithm. [Internet] [Thesis]. Ryerson University; 2003. [cited 2021 Feb 26]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A478.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Chan CC. Actuator hysteresis modeling and compensation with an adaptive search space based genetic algorithm. [Thesis]. Ryerson University; 2003. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A478
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Ryerson University
30. Sivapalan, Sanjeevan. A genetic algorithm approach to recommender system cold start problem.
Degree: 2015, Ryerson University
URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A3664
Subjects/Keywords: Recommender systems (Information filtering); Genetic algorithms.
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Sivapalan, S. (2015). A genetic algorithm approach to recommender system cold start problem. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A3664
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):
Sivapalan, Sanjeevan. “A genetic algorithm approach to recommender system cold start problem.” 2015. Thesis, Ryerson University. Accessed February 26, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A3664.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Sivapalan, Sanjeevan. “A genetic algorithm approach to recommender system cold start problem.” 2015. Web. 26 Feb 2021.
Vancouver:
Sivapalan S. A genetic algorithm approach to recommender system cold start problem. [Internet] [Thesis]. Ryerson University; 2015. [cited 2021 Feb 26]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3664.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Sivapalan S. A genetic algorithm approach to recommender system cold start problem. [Thesis]. Ryerson University; 2015. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3664
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation