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

Authors:
Qingfu Zhang;Wudong Liu;Hui Li
Affiliations:
School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK;School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK;Department of Computer Science, University of Nottingham, Nottingham, UK
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

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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.