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dc.title | Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution | en |
dc.contributor.author | Ghosh, Arka | |
dc.contributor.author | Das, Swagatam | |
dc.contributor.author | Das, Asit Kr. | |
dc.contributor.author | Šenkeřík, Roman | |
dc.contributor.author | Viktorin, Adam | |
dc.contributor.author | Zelinka, Ivan | |
dc.contributor.author | Masegosa, Antonio David | |
dc.relation.ispartof | Swarm and Evolutionary Computation | |
dc.identifier.issn | 2210-6502 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.identifier.issn | 2210-6510 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.date.issued | 2022 | |
utb.relation.volume | 71 | |
dc.type | article | |
dc.language.iso | en | |
dc.publisher | Elsevier B.V. | |
dc.identifier.doi | 10.1016/j.swevo.2022.101057 | |
dc.relation.uri | https://www.sciencedirect.com/science/article/pii/S2210650222000293 | |
dc.subject | differential evolution | en |
dc.subject | SHADE | en |
dc.subject | parameter adaptation | en |
dc.subject | scaling factor | en |
dc.subject | crossover rate | en |
dc.description.abstract | Differential Evolution (DE) has been widely appraised as a simple yet robust population-based, non-convex optimization algorithm primarily designed for continuous optimization. Two important control parameters of DE are the scale factor F, which controls the amplitude of a perturbation step on the current solutions and the crossover rate Cr, which limits the mixing of components of the parent and the mutant individuals during recombination. We propose a very simple, yet effective, nearest spatial neighborhood-based modification to the adaptation process of the aforesaid parameters in the Success-History based adaptive DE (SHADE) algorithm. SHADE uses a historical archive of the successful F and Cr values to update these parameters and stands out as a very competitive DE variant of current interest. Our proposed modifications can be extended to any SHADE-based DE algorithm like L-SHADE (SHADE with linear population size reduction), jSO (L-SHADE with modified mutation) etc. The enhanced performance of the modified SHADE algorithm is showcased on the IEEE CEC (Congress on Evolutionary Computation) 2013, 2014, 2015, and 2017 benchmark suites by comparing against the DE-based winners of the corresponding competitions. Furthermore, the effectiveness of the proposed neighborhood-based parameter adaptation strategy is demonstrated by using the real-life problems from the IEEE CEC 2011 competition on testing evolutionary algorithms on real-world numerical optimization problems. © 2022 | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1010978 | |
utb.identifier.obdid | 43884086 | |
utb.identifier.scopus | 2-s2.0-85129522048 | |
utb.identifier.wok | 000795579900002 | |
utb.source | j-scopus | |
dc.date.accessioned | 2022-05-18T08:07:14Z | |
dc.date.available | 2022-05-18T08:07:14Z | |
utb.contributor.internalauthor | Šenkeřík, Roman | |
utb.contributor.internalauthor | Viktorin, Adam | |
utb.fulltext.affiliation | Arka Ghosha, Swagatam Das , Asit Kr. Das , Roman Senkerik , Adam Viktorind, Ivan Zelinkae,Antonio David Masegosaa, a Deusto Institute of Technology (DeustoTech), Faculty of Engineering, University of Deusto, Bilbao, 48007, Vizcaya, Spain b ECSU, Indian Statistical Institute, Kolkata, 700108, West Bengal, India c Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India d Faculty of Applied Informatics, Tomas Bata University in Zlin, Czech Republic e Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB-TUO, Czech Republic f IKERBASQUE, Basque Foundation for Science, Spain | |
utb.fulltext.dates | Received 24 June 2021 Received in revised form 7 February 2022 Accepted 3 March 2022 | |
utb.fulltext.sponsorship | Work of R, Senkerik and A. Viktorin was supported by the resources of A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin (https://www.ailab.fai.utb.cz). | |
utb.wos.affiliation | [Ghosh, Arka; Masegosa, Antonio David] Univ Deusto, Fac Engn, Deusto Inst Technol DeustoTech, Bilbao 48007, Vizcaya, Spain; [Das, Swagatam] Indian Stat Inst, ECSU, Kolkata 700108, W Bengal, India; [Das, Asit Kr] Indian Inst Engn Sci & Technol, Dept Comp Sci & Technol, Sibpur, Howrah, India; [Senkerik, Roman; Viktorin, Adam] Tomas Bata Univ Zlin, Fac Appl Informat, Zlin, Czech Republic; [Zelinka, Ivan] VSB TUO, Dept Comp Sci, Fac Elect Engn & Comp Sci, Ostrava, Czech Republic; [Masegosa, Antonio David] Basque Fdn Sci, IKERBASQUE, Bilbao, Spain | |
utb.scopus.affiliation | Deusto Institute of Technology (DeustoTech), Faculty of Engineering, University of Deusto, Vizcaya, Bilbao, 48007, Spain; ECSU, Indian Statistical Institute, West Bengal, Kolkata, 700108, India; Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Howrah, Shibpur, India; Faculty of Applied Informatics, Tomas Bata University in Zlin, Czech Republic; Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB-TUO, Czech Republic; IKERBASQUE, Basque Foundation for Science, Spain | |
utb.fulltext.faculty | Faculty of Applied Informatics | |
utb.fulltext.ou | - |