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 language | English |
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Title of host publication | 2009 IEEE Congress on Evolutionary Computation, CEC 2009 |
Pages | 203-208 |
DOIs | |
Publication status | Published - 2009 |
Externally published | Yes |
Event | 2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway Duration: 18 May 2009 → 21 May 2009 |
Conference
Conference | 2009 IEEE Congress on Evolutionary Computation, CEC 2009 |
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Country/Territory | Norway |
City | Trondheim |
Period | 18/05/09 → 21/05/09 |
Research Keywords
- MOEA/D
- Multiobjective optimization
- Test problems
Fingerprint
Dive into the research topics of 'The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances'. Together they form a unique fingerprint.Prizes
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The Winner of the Unconstrained Multiobjective Evolutionary Algorithm Competition
Zhang, Q. (Recipient), Liu, W. (Recipient) & Li, H. (Recipient), 2009
Prize: RGC 64B - Prizes and awards