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soft_multimodal [2016/09/19 15:25]
Denis Pallez
soft_multimodal [2016/09/21 09:19]
Denis Pallez
Line 1: Line 1:
 ====== 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, +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]]))
-as well as the results obtained for all the functions from the CEC2013 benchmark. +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.)).
-The implementations ​were done in JAVA using ECJ[6to implement the evolutionary algorithms.+
  
 All the results are computed with a precision of 1e-3. All the results are computed with a precision of 1e-3.
  
-Source codelien +{{:doc:sources.zip|Source code (zipped)}}
-Results plotlien+
  
-[1] SBandaru and K. Deb, +{{:​doc:​curves.zip|Resulting plots (zipped)}}
-    “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. [Online]. Available: 
-    http://​dx.doi.org/​10.1109/​4235.996017 
- 
-[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. 
-    [Online]. Available: 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. 
  
soft_multimodal.txt · Last modified: 2016/09/21 09:19 by Denis Pallez