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SVPCGA: Selection on virtual population based compact genetic algorithm

  • Yi Hong
  • , Sam Kwong
  • , Hanli Wang
  • , Zhihui Xie
  • , Qingsheng Ren

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This paper describes a novel virtual population based truncation selection operator that extends our previously proposed virtual population based tournament selection operator [1]. Moreover, two extensions of compact genetic algorithm (CGA) that make use of virtual population based selection operators are presented in this paper: one is the tournament selection on virtual population based compact genetic algorithm (SVPCGA-TO); the other is the truncation selection on virtual population based compact genetic algorithm (SVPCGA-TR). Both SVPCGA-TO and SVPCGA-TR are tested on several benchmark problems and their results are compared with those obtained by CGA [2] and ne-CGA [3] Some superiorities of SVPCGA in search reliability can be achieved. © 2008 IEEE.
Original languageEnglish
Title of host publication2008 IEEE Congress on Evolutionary Computation, CEC 2008
Pages265-272
DOIs
Publication statusPublished - 2008
Event2008 IEEE Congress on Evolutionary Computation, CEC 2008 - Hong Kong Convention and Exhibition Centre, Hong Kong, China
Duration: 1 Jun 20086 Jun 2008

Conference

Conference2008 IEEE Congress on Evolutionary Computation, CEC 2008
PlaceChina
CityHong Kong
Period1/06/086/06/08

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