An interactive fuzzy satisficing method for general multiobjective 0-1 programming problems through genetic algorithms with double strings based on a reference solution

DOI10.1016/S0165-0114(01)00029-XzbMath0996.68636OpenAlexW2046753473MaRDI QIDQ1602873

Masatoshi Sakawa, Kosuke Kato

Publication date: 24 June 2002

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-0114(01)00029-x

zbMATH Keywords

multiobjective 0-1 programming

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Multi-objective and goal programming (90C29) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Computing methodologies and applications (68U99) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (5)

Interactive multiple criteria decision making based on preference driven evolutionary multiobjective optimization with controllable accuracy ⋮ A memetic algorithm for multi-objective dynamic location problems ⋮ A multi-objective optimization evolutionary algorithm incorporating preference information based on fuzzy logic ⋮ An effective genetic algorithm approach to large scale mixed integer programming problems ⋮ A variable-grouping based genetic algorithm for large-scale integer programming

Uses Software

• lp_solve
• Genocop

Cites Work

• Fuzzy programming and linear programming with several objective functions
• Fuzzy programming for multiobjective 0-1 programming problems through revised genetic algorithms
• An interactive fuzzy satisfying method for multiobjective 0-1 programming problems with fuzzy numbers through genetic algorithms with double strings
• A tree-search algorithm for mixed integer programming problems
• Decision-Making in a Fuzzy Environment
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