articleMay 1, 2009Closed access

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

QZQingfu ZhangWLWudong LiuHLHui Li

University of Essex · University of Nottingham

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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.

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Topics & keywords

Topics
Keywords
  • Computer science
  • Test (biology)
  • Mathematical optimization
  • Artificial intelligence
  • Mathematics
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