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A multi-objective optimization evolutionary algorithm incorporating preference information based on fuzzy logic

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  • Xiaoning Shen
  • Yu Guo
  • Qingwei Chen
  • Weili Hu

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  • Xiaoning Shen & Yu Guo & Qingwei Chen & Weili Hu, 2010. "A multi-objective optimization evolutionary algorithm incorporating preference information based on fuzzy logic," Computational Optimization and Applications, Springer, vol. 46(1), pages 159-188, May.
    • Handle: RePEc:spr:coopap:v:46:y:2010:i:1:p:159-188
    DOI: 10.1007/s10589-008-9189-2
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    References listed on IDEAS

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    1. Sakawa, Masatoshi & Yauchi, Katsuhiro, 1999. "An interactive fuzzy satisficing method for multiobjective nonconvex programming problems through floating point genetic algorithms," European Journal of Operational Research, Elsevier, vol. 117(1), pages 113-124, August.
    2. Sakawa, Masatoshi & Nishizaki, Ichiro & Hitaka, Masatoshi, 1999. "Interactive fuzzy programming for multi-level 0-1 programming problems through genetic algorithms," European Journal of Operational Research, Elsevier, vol. 114(3), pages 580-588, May.
    3. Kathrin Klamroth & Kaisa Miettinen, 2008. "Integrating Approximation and Interactive Decision Making in Multicriteria Optimization," Operations Research, INFORMS, vol. 56(1), pages 222-234, February.
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    Cited by:

    1. Mohamed Abouhawwash & Kalyanmoy Deb, 2021. "Reference point based evolutionary multi-objective optimization algorithms with convergence properties using KKTPM and ASF metrics," Journal of Heuristics, Springer, vol. 27(4), pages 575-614, August.

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