Publikace UTB
Repozitář publikační činnosti UTB

Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution

Repozitář DSpace/Manakin

Zobrazit minimální záznam


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 -
Find Full text

Soubory tohoto záznamu

Zobrazit minimální záznam