Fuzzy nonlinear programming for mixed-discrete design optimization through hybrid genetic algorithm

DOI10.1016/j.fss.2003.09.001zbMath1061.90125OpenAlexW2046455367MaRDI QIDQ1885697

Ying Xiong, Singiresu S. Rao

Publication date: 12 November 2004

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

Full work available at URL: https://doi.org/10.1016/j.fss.2003.09.001

zbMATH Keywords

Engineering designFuzzy programmingMembership functionHybrid genetic algorithmMixed-discrete optimization

Mathematics Subject Classification ID

Combinatorial optimization (90C27) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

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Cites Work

• Coupling genetic algorithm with a grid search method to solve mixed integer nonlinear programming problems
• Computing improved optimal solutions to max-min flexible constraint satisfaction problems
• Optimal design of laminated composites using a modified mixed integer and discrete programming algorithm
• Fuzzy sets
• Decision-Making in a Fuzzy Environment