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An interactive fuzzy satisficing method for multiobjective nonconvex programming problems through floating point genetic algorithms

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  • Sakawa, Masatoshi
  • Yauchi, Katsuhiro

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  • 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.
    • Handle: RePEc:eee:ejores:v:117:y:1999:i:1:p:113-124
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    Cited by:

    1. Wee, Hui-Ming & Lo, Chien-Chung & Hsu, Ping-Hui, 2009. "A multi-objective joint replenishment inventory model of deteriorated items in a fuzzy environment," European Journal of Operational Research, Elsevier, vol. 197(2), pages 620-631, September.
    2. 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.
    3. Miettinen, Kaisa & Makela, Marko M. & Kaario, Katja, 2006. "Experiments with classification-based scalarizing functions in interactive multiobjective optimization," European Journal of Operational Research, Elsevier, vol. 175(2), pages 931-947, December.
    4. Jones, D. F. & Mirrazavi, S. K. & Tamiz, M., 2002. "Multi-objective meta-heuristics: An overview of the current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 137(1), pages 1-9, February.
    5. Luhandjula, M.K. & Rangoaga, M.J., 2014. "An approach for solving a fuzzy multiobjective programming problem," European Journal of Operational Research, Elsevier, vol. 232(2), pages 249-255.

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