DocumentCode :
3448616
Title :
The application of genetic algorithm and nonlinear fuzzy programming for water pollution control in a river basin
Author :
Chang, Ni-Bin ; Chen, H.W.
Author_Institution :
Dept. of Environ. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear :
1996
fDate :
11-14 Dec 1996
Firstpage :
224
Lastpage :
229
Abstract :
This paper presents a modified formulation of a fuzzy multiobjective programming model in order to illustrate the tendency of nonlinearity in many environmental problems. The genetic algorithm is described as a tool to solve a typical water pollution control problem
Keywords :
fuzzy set theory; genetic algorithms; nonlinear programming; rivers; water pollution control; environmental problems; fuzzy multiobjective programming model; genetic algorithm; nonlinear fuzzy programming; nonlinearity; problem solving; river basin; water pollution control; Decision making; Environmental factors; Fuzzy control; Genetic algorithms; Genetic engineering; Mathematical model; Mathematical programming; Rivers; Uncertainty; Water pollution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location :
Kenting
Print_ISBN :
0-7803-3687-9
Type :
conf
DOI :
10.1109/AFSS.1996.583595
Filename :
583595
Link To Document :
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