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Volumn , Issue , 2008, Pages 633-640

A robust evolutionary framework for multi-objective optimization

Author keywords

Decision making; Evolutionary optimization; Functional decomposition; Multi objective optimization

Indexed keywords

DECISION MAKING; GENETIC ALGORITHMS;

EID: 57349097224     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1389095.1389223     Document Type: Conference Paper
Times cited : (40)

References (22)
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    • J. Branke and K. Deb. Integrating user preferences into evolutionary multi-objective optimization. In Y. Jin, editor, Knowledge Incorporation in Evolutionary Computation, pages 461-477. Hiedelberg, Germany: Springer, 2004.
  • 7
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    • Towards estimating nadir objective vector using evolutionary approaches
    • New York: The Association of Computing Machinery ACM
    • K. Deb, S. Chaudhuri, and K. Miettinen. Towards estimating nadir objective vector using evolutionary approaches. In Proc. of the Genetic and Evolutionary Computation Conference (GECCO-2006), pages 643-650. New York: The Association of Computing Machinery (ACM), 2006.
    • (2006) Proc. of the Genetic and Evolutionary Computation Conference (GECCO-2006) , pp. 643-650
    • Deb, K.1    Chaudhuri, S.2    Miettinen, K.3
  • 9
    • 72749122175 scopus 로고    scopus 로고
    • Light beam search based multi-objective optimization using evolutionary algorithms
    • K. Deb and A. Kumar. Light beam search based multi-objective optimization using evolutionary algorithms. In Proc. of the Congress on Evolutionary Computation (CEC-07), pages 2125-2132, 2007.
    • (2007) Proc. of the Congress on Evolutionary Computation (CEC-07) , pp. 2125-2132
    • Deb, K.1    Kumar, A.2
  • 10
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    • Evaluating the e-domination based multi-objective evolutionary algorithm for a quick computation of pareto-optimal solutions
    • K. Deb, M. Mohan, and S. Mishra. Evaluating the e-domination based multi-objective evolutionary algorithm for a quick computation of pareto-optimal solutions. Evolutionary Computation Journal, 13(4):501-525, 2005.
    • (2005) Evolutionary Computation Journal , vol.13 , Issue.4 , pp. 501-525
    • Deb, K.1    Mohan, M.2    Mishra, S.3
  • 11
    • 34548088235 scopus 로고    scopus 로고
    • Searching for pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems
    • K. Deb and D. Saxena. Searching for pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems. In Proceedings of the World Congress on Computational Intelligence (WCCI-2006), pages 3352-3360, 2006.
    • (2006) Proceedings of the World Congress on Computational Intelligence (WCCI-2006) , pp. 3352-3360
    • Deb, K.1    Saxena, D.2
  • 13
    • 34848886877 scopus 로고    scopus 로고
    • Omni-optimizer: A generic evolutionary algorithm for global optimization
    • K. Deb and S. Tiwari. Omni-optimizer: A generic evolutionary algorithm for global optimization. European Journal of Operations Research (EJOR), 185(3):1062-1087, 2008.
    • (2008) European Journal of Operations Research (EJOR) , vol.185 , Issue.3 , pp. 1062-1087
    • Deb, K.1    Tiwari, S.2
  • 14
    • 2442507741 scopus 로고    scopus 로고
    • M. Farina and P. Amato. A fuzzy definition of optimality for many-criteria decision-making and optimization problems, submitted to IEEE Trans, on Sys. Man and Cybern., 34(3):315-326, 2004.
    • M. Farina and P. Amato. A fuzzy definition of "optimality" for many-criteria decision-making and optimization problems, submitted to IEEE Trans, on Sys. Man and Cybern., 34(3):315-326, 2004.
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    • The light beam search approach - An overview of methodology and applications
    • A. Jaszkiewicz and R. Slowinski. The light beam search approach - An overview of methodology and applications. European Journal of Operation Research, 113:300-314, 1999.
    • (1999) European Journal of Operation Research , vol.113 , pp. 300-314
    • Jaszkiewicz, A.1    Slowinski, R.2
  • 18
    • 70349343343 scopus 로고    scopus 로고
    • Multi-objective problem solving from nature
    • J. D. Knowles, D. W. Corne, and K. Deb. Eds, Springer-Verlag
    • J. D. Knowles, D. W. Corne, and K. Deb. Eds. Multi-objective problem solving from nature. Springer Natural Computing Series, Springer-Verlag, 2008.
    • (2008) Springer Natural Computing Series
  • 19
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    • Improved pruning of non-dominated solutions based on crowding distance for bi-objective optimization problems
    • S. Kukkonen and K. Deb. Improved pruning of non-dominated solutions based on crowding distance for bi-objective optimization problems. In Proc. of the Congress on Evolutionary Computation (CEC-06), pages 1179 - 1186, 2006.
    • (2006) Proc. of the Congress on Evolutionary Computation (CEC-06) , pp. 1179-1186
    • Kukkonen, S.1    Deb, K.2
  • 20
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    • Combining convergence and diversity in evolutionary multi-objective optimization
    • M. Laumanns, L. Thiele, K. Deb, and Eckart Zitzler. Combining convergence and diversity in evolutionary multi-objective optimization. Evolutionary Computation, 10(3):263-282, 2002.
    • (2002) Evolutionary Computation , vol.10 , Issue.3 , pp. 263-282
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  • 22
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    • Multiobjective satisfaction within an interactive evolutionary design enviornment
    • I. C. Parmee, D. C. Cevtkovic, A. H. Watson, and C. R. Bonham. Multiobjective satisfaction within an interactive evolutionary design enviornment. Evolutionary Computation Journal, 8(2): 197-222, 2000.
    • (2000) Evolutionary Computation Journal , vol.8 , Issue.2 , pp. 197-222
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.