Denis PALLEZ

Associate Professor in Computer Science

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soft_multimodal [2016/09/21 06:51] – Denis Pallezsoft_multimodal [2016/09/21 07:19] (current) – Denis Pallez
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 ====== Comparative Study of Recent Multimodal Evolutionary Algorithms ====== ====== Comparative Study of Recent Multimodal Evolutionary Algorithms ======
  
-This page contains the complimentary material for the paper Comparative Study of Recent Multimodal Evolutionary Algorithms [5]. +This page contains complimentary material for the paper Comparative Study of Recent Multimodal Evolutionary Algorithms ((Pighetti, R., Pallez, D., & Precioso, F. (2015, December). "Comparative Study of Recent Multimodal Evolutionary Algorithms". In Computational Intelligence, 2015 IEEE Symposium Series on (pp. 837-844). IEEE. [[https://www.researchgate.net/publication/282869185_Comparative_Study_of_Recent_Multimodal_Evolutionary_Algorithms|Available here]])). 
-This includes the implementation of PNA-NSGA2 [1] (denoted MMNSGAII on the plots), MOBiDE [2] and NSGA2 [3] used to obtain the presented results, as well as the results obtained for all the functions from the CEC2013 benchmark. +This includes the implementation of PNA-NSGA2 ((S. Bandaru and K. Deb,"A parameterless-niching-assisted bi-objective approach to multimodal optimization", in Evolutionary Computation (CEC), 2013 IEEE Congress on, June 2013, pp. 95–102. [[https://www.researchgate.net/publication/261038299_A_parameterless-niching-assisted_bi-objective_approach_to_multimodal_optimization|Available here]])) (denoted MMNSGAII on the plots), MOBiDE ((A. Basak, S. Das, and K. Tan, "Multimodal optimization using a biobjective differential evolution algorithm enhanced with mean distance based selection", Evolutionary Computation, IEEE Transactions on, vol. 17, no. 5, pp. 666–685, Oct 2013. [[http://dl.acm.org/citation.cfm?id=2719895|Available here]])) and NSGA-II (( K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II", Trans. Evol. Comp, vol. 6, no. 2, pp. 182–197, Apr. 2002. [[http://dx.doi.org/10.1109/4235.996017|Available here]])) used to obtain the presented results, as well as results obtained for all the functions from the CEC2013 benchmark ((X. Li, A. Engelbrecht, and M. G. Epitropakis, "Benchmark functions for cec’2013 special session and competition on niching methods for multimodal function optimization", Evolutionary Computation and Machine Learning Group, RMIT University, Australia, Tech. Rep., 2013. [[https://github.com/mikeagn/CEC2013|Available here]])). 
-The implementations were done in JAVA using ECJ [6] to implement the evolutionary algorithms.+Implementations were done in JAVA using ECJ library (("A java-based evolutionary computation research system, ecj", [[http://cs.gmu.edu/~eclab/projects/ecj/|Available here]], accessed: 2016-09-19.)).
  
 All the results are computed with a precision of 1e-3. All the results are computed with a precision of 1e-3.
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 {{:doc:curves.zip|Resulting plots (zipped)}} {{:doc:curves.zip|Resulting plots (zipped)}}
  
-    [1] S. Bandaru and K. Deb,"A parameterless-niching-assisted bi-objective approach to multimodal optimization", in Evolutionary Computation (CEC), 2013 IEEE Congress on, June 2013, pp. 95–102. 
-    [2] A. Basak, S. Das, and K. Tan, "Multimodal optimization using a biobjective differential evolution algorithm enhanced with mean distance based selection", Evolutionary Computation, IEEE Transactions on, vol. 17, no. 5, pp. 666–685, Oct 2013. 
-    [3] K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II", Trans. Evol. Comp, vol. 6, no. 2, pp. 182–197, Apr. 2002. [[http://dx.doi.org/10.1109/4235.996017|Available here]] 
-    [4] X. Li, A. Engelbrecht, and M. G. Epitropakis, "Benchmark functions for cec’2013 special session and competition on niching methods for multimodal function optimization", Evolutionary Computation and Machine Learning Group, RMIT University, Australia, Tech. Rep., 2013. http://goanna.cs.rmit.edu.au/~xiaodong/cec13-niching/competition/cec2013-niching-benchmark-tech-report.pdf 
-    [5] Pighetti, R., Pallez, D., & Precioso, F. (2015, December). "Comparative Study of Recent Multimodal Evolutionary Algorithms". In Computational Intelligence, 2015 IEEE Symposium Series on (pp. 837-844). IEEE. 
-    [6] "A java-based evolutionary computation research system, ecj", http://cs.gmu.edu/~eclab/projects/ecj/, accessed: 2016-09-19. 
-    [7] "Benchmark Functions for the CEC'2013 Special Session and Competition on Large-Scale Global Optimization", https://www.researchgate.net/publication/261562928_Benchmark_Functions_for_the_CEC%272013_Special_Session_and_Competition_on_Large-Scale_Global_Optimization 
  
soft_multimodal.1474440696.txt.gz · Last modified: 2016/09/21 06:51 by Denis Pallez