The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances

Qingfu Zhang, Wudong Liu, Hui Li

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

597 Citations (Scopus)

Abstract

This paper describes the idea of MOEA/D and proposes a strategy for allocating the computational resource to different subproblems in MOEA/D. The new version of MOEA/D has been tested on all the CEC09 unconstrained MOP test instances. © 2009 IEEE.
Original languageEnglish
Title of host publication2009 IEEE Congress on Evolutionary Computation, CEC 2009
Pages203-208
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway
Duration: 18 May 200921 May 2009

Conference

Conference2009 IEEE Congress on Evolutionary Computation, CEC 2009
Country/TerritoryNorway
CityTrondheim
Period18/05/0921/05/09

Research Keywords

  • MOEA/D
  • Multiobjective optimization
  • Test problems

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