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