IMPROVED GENETIC ALGORITHM FOR SOLVING MULTIOBJECTIVE SOLID TRANSPORTATION PROBLEM WITH FUZZY NUMBERS

Authors
LI YZ IDA K GEN M
Citation
Yz. Li et al., IMPROVED GENETIC ALGORITHM FOR SOLVING MULTIOBJECTIVE SOLID TRANSPORTATION PROBLEM WITH FUZZY NUMBERS, Computers & industrial engineering, 33(3-4), 1997, pp. 589-592
Citations number
8
Journal title
Computers & industrial engineering → ACNP
ISSN journal
03608352
Volume
33
Issue
3-4
Year of publication
1997
Pages
589 - 592
Database
ISI
SICI code
0360-8352(1997)33:3-4<589:IGAFSM>2.0.ZU;2-C
Abstract
In this paper, we present improved genetic algorithm for solving the f uzzy multiobjective solid transportation problem in which the coeffici ents of objective function are represented as fuzzy numbers. The ranki ng fuzzy numbers with integral value are used in the evaluation and se lection. The proposed algorithm is incorporated with problem-specific knowledge and conductive to find out the set of nondominated points in the criteria space based on decision maker degree of optimism. (C) 19 97 Elsevier Science Ltd.