Model and method based on GA for nonlinear programming problems with fuzzy objective and resources

DOI10.1080/00207729808929582zbMath0995.90099OpenAlexW2135588366MaRDI QIDQ4546766

Richard Ying Kit Fung, Dingwei Wang, Jiafu Tang

Publication date: 24 October 2002

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207729808929582

zbMATH Keywords

fuzzy nonlinear programminggenetic algorithm nonlinear programming

Mathematics Subject Classification ID

Nonlinear programming (90C30) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (3)

Study on fuzzy optimization methods based on quasi-linear fuzzy number and genetic algorithm ⋮ An interval-parameter fuzzy nonlinear optimization model for stream water quality management under uncertainty ⋮ Study on fuzzy optimization methods based on principal operation and inequity degree

Cites Work

• Fuzzy programming in multiobjective linear programming - a parametric approach
• An interactive fuzzy satisficing method for multiobjective nonlinear programming problems with fuzzy parameters
• Fuzzy optimization: An appraisal
• Fuzzy mathematical programming. Methods and applications
• An interactive approach based on a genetic algorithm for a type of quadratic programming problems with fuzzy objective and resources
• On an algorithm for solving fuzzy linear systems
• On fuzzy random linear programming
• DESCRIPTION AND OPTIMIZATION OF FUZZY SYSTEMS
• Decision-Making in a Fuzzy Environment

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