DocumentCode
1642831
Title
A fuzzy evolutionary approach to constrained optimisation problems
Author
Van Le, T.
Author_Institution
Fac. of Inf. Sci. & Eng, Univ. of Canberra, ACT, Australia
fYear
1996
Firstpage
274
Lastpage
278
Abstract
Non-linear constrained optimisation problems are fuzzified and a method of fuzzy evolutionary programming is introduced to solve the problems. In this method, the degrees of constraint satisfaction are used as weight factors for the potential solutions. The method is extended to stochastic programming problems and other analogous fuzzy optimisation problems
Keywords
fuzzy logic; genetic algorithms; mathematical programming; nonlinear programming; operations research; stochastic programming; degrees of constraint satisfaction; fuzzy evolutionary approach; fuzzy evolutionary programming; fuzzy optimisation problems; nonlinear constrained optimisation problems; potential solutions; stochastic programming problems; weight factors; Australia; Constraint optimization; Evolutionary computation; Fuzzy sets; Genetic algorithms; Genetic programming; Operations research; Optimization methods; Shape control; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location
Nagoya
Print_ISBN
0-7803-2902-3
Type
conf
DOI
10.1109/ICEC.1996.542374
Filename
542374
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