Interactive fuzzy programming for multi-level 0-1 programming problems through genetic algorithms

DOI10.1016/S0377-2217(98)00019-8zbMath0938.90077OpenAlexW2002542418MaRDI QIDQ1124719

Masatoshi Hitaka, Ichiro Nishizaki, Masatoshi Sakawa

Publication date: 27 June 2000

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(98)00019-8

zbMATH Keywords

genetic algorithmsinteractive fuzzy programmingfuzzy goalshierarchical decision problemsmulti-level 0-1 programming problems

Mathematics Subject Classification ID

Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Boolean programming (90C09)

Related Items (12)

Fuzzy goal programming approach to multilevel programming problems ⋮ Adjustable robust optimization through multi-parametric programming ⋮ Multi-parametric global optimization approach for tri-level mixed-integer linear optimization problems ⋮ An interactive approach for integrated multilevel systems in a fuzzy environment ⋮ Integer solutions via goal programming to hierarchical systems. ⋮ Considering decision decentralizations to solve bi-level multi-objective decision-making problems: a fuzzy approach ⋮ Fuzzy programming approach to multi-level programming problems ⋮ Fuzzy dispatching model and genetic algorithms for railyards operations ⋮ A decentralized two-level transportation problem in a housing material manufacturer: Interactive fuzzy programming approach ⋮ Bilevel Optimization: Theory, Algorithms, Applications and a Bibliography ⋮ Interactive fuzzy programming for two-level nonconvex programming problems with fuzzy parameters through genetic algorithms ⋮ Fuzzy mathematical programming applied to multi-level programming problems.

Cites Work

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• Fuzzy programming for multiobjective 0-1 programming problems through revised genetic algorithms
• A penalty function approach for solving bi-level linear programs
• Algorithms for solving the mixed integer two-level linear programming problem
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