Effect of spatial locality on an evolutionary algorithm for multimodal optimization
Refereed conference paper presented and published in conference proceedings

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AbstractTo explore the effect of spatial locality, crowding differential evolution is incorporated with spatial locality for multimodal optimization. Instead of random trial vector generations, it takes advantages of spatial locality to generate fitter trial vectors. Experiments were conducted to compare the proposed algorithm (CrowdingDE-L) with the state-of-the-art algorithms. Further experiments were also conducted on a real world problem. The experimental results indicate that CrowdingDE-L has a competitive edge over the other algorithms tested. © 2010 Springer-Verlag Berlin Heidelberg.
All Author(s) ListWong K.-C., Leung K.-S., Wong M.-H.
Name of ConferenceEvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, EvoApplicatons 2010
Start Date of Conference07/04/2010
End Date of Conference09/04/2010
Place of ConferenceIstanbul
Country/Region of ConferenceTurkey
Detailed descriptionorganized by EvoStar,
Volume Number6024 LNCS
Issue NumberPART 1
PublisherSpringer Verlag
Place of PublicationGermany
Pages481 - 490
LanguagesEnglish-United Kingdom

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