DocumentCode :
2051388
Title :
Obtaining fuzzy solutions to the fuzzy solid transportation problem with genetic algorithms
Author :
Jiménez, Fernando ; Verdegay, José L.
Author_Institution :
Dept. Inf. y Sistemas, Murcia Univ., Spain
Volume :
3
fYear :
1997
fDate :
1-5 Jul 1997
Firstpage :
1657
Abstract :
The solid transportation problem arises when bounds are given on three item properties. Fuzzy solid transportation problem arises when the nature of the data problem is vague. This paper deals with the fuzzy solid transportation problem in the case in which the fuzzyness affects only in the constraint set, and a fuzzy solution to the problem is required. Moreover, an arbitrary linear or nonlinear objective function is considered. In order to end a fuzzy solution to the problem, a parametric approach is used in obtaining an auxiliary parametric solid transportation problem associated to the original problem. As there isn´t solution methods proposed in literature to solve the parametric solid transportation problem, in this paper is proposed a genetic algorithm based solution method, which can be applied to find a “good” fuzzy solution to the fuzzy solid transportation problem
Keywords :
fuzzy set theory; genetic algorithms; goods distribution; minimisation; nonlinear programming; transportation; auxiliary parametric solid transportation problem; constraint set; fuzzy solid transportation problem; genetic algorithms; linear objective function; nonlinear objective function; Cost function; Fuzzy sets; Genetic algorithms; Production facilities; Solids; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
Type :
conf
DOI :
10.1109/FUZZY.1997.619789
Filename :
619789
Link To Document :
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