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Volumn , Issue , 2012, Pages 97-108

Analysis of VEGA and SPEA2 using exploration and exploitation measures

Author keywords

Exploitation; Exploration; Multi objective 0 1 knapsack problem

Indexed keywords

ALGORITHMS; COMBINATORIAL OPTIMIZATION; GENETIC ALGORITHMS; NATURAL RESOURCES EXPLORATION; OPTIMIZATION;

EID: 84976417047     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (15)
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  • 3
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  • 5
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    • Towards landscape analyses to inform the design ofhybrid local search for the multiobjective quadratic assignment problem
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    • Knowles, J.1    Corne, D.2
  • 9
    • 24344480582 scopus 로고    scopus 로고
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    • Reyes, M.1    Coello, C.2
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    • Smoothness, ruggedness andneutrality of fitness landscapes: From theory to application
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    • V. K. Vassilev, T. C. Fogarty, and J. F. Miller. Smoothness, Ruggedness andNeutrality of Fitness Landscapes: from Theory to Application. In A. Ghosh andS. Tsutsui, editors. Advances in Evolutionary Computing, pages 3-44. Springer,2003.
    • (2003) Advances in Evolutionary Computing , pp. 3-44
    • Vassilev, V.K.1    Fogarty, T.C.2    Miller, J.F.3
  • 12
    • 34548108555 scopus 로고    scopus 로고
    • MOEA/D: A multi-objective evolutionary algorithm basedon decomposition
    • Q. Zhang and H. Li. MOEA/D: A multi-objective evolutionary algorithm basedon decomposition. IEEE T. Evolut. Comput., 11(6):712-731, 2007.
    • (2007) IEEE T. Evolut. Comput. , vol.11 , Issue.6 , pp. 712-731
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  • 13
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    • Multiobjective evolutionary algorithms: A comparativecase study and the strength Pareto approach
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  • 14
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    • Comparison of multiobjective evolutionaryalgorithms: Empirical results
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.