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Volumn , Issue , 2009, Pages 209-216

Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization

Author keywords

[No Author keywords available]

Indexed keywords

CURRENT TRENDS; DECOMPOSITION TECHNIQUE; DIFFERENTIAL EVOLUTION; EVOLUTIONARY COMPUTATIONS; FINAL DECISION; GUIDED MUTATION; MULTI-OBJECTIVE PROBLEM; OPTIMIZATION METHOD; PARETO SET; PERFORMANCE IMPROVEMENTS; PRIORITY QUEUES; PROBLEM INSTANCES; REAL-WORLD PROBLEM; TEST PROBLEM;

EID: 70449920997     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4982950     Document Type: Conference Paper
Times cited : (76)

References (20)
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  • 2
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    • 0042863389 scopus 로고    scopus 로고
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    • (2003) IEEE Transactions on Evolutionary Computation , vol.7 , Issue.4 , pp. 325-343
    • Lu, H.1    Yen, G.G.2
  • 9
    • 34548108555 scopus 로고    scopus 로고
    • MOEA/D: A multiobjective evolutionary algorithm based on decomposition
    • DOI 10.1109/TEVC.2007.892759
    • Q. Zhang and H. Li, "MOEA/D: A multiobjective evolutionary algorithm based on decomposition," IEEE Transactions on Evolutionary Computation, vol.11, no.6, pp. 712-731, 2007. (Pubitemid 350187486)
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  • 10
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    • in press
    • H. Li and Q. Zhang, "Multiobjective optimization problems with complicated pareto set, MOEA/D and NSGA-II," IEEE Transactions on Evolutionary Computation, 2008, in press.
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    • Li, H.1    Zhang, Q.2
  • 15
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    • Comparison of multiobjective evolutionary algorithms: Empirical results
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.