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Improved genetic algorithm for solving multiobjective solid transportation problem with fuzzy numbers

delete1997-12-01
delete50
PRE
AI
Y
Yinzhen Li *
K
Kenichi Ida
M
Mitsuo Gen
DOI：10.1016/S0360-8352(97)00199-Xdelete
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Abstract

Abstract

En 中文
In this paper, we present improved genetic algorithm for solving the fuzzy multiobjective solid transportation problem in which the coefficients of objective function are represented as fuzzy numbers. The ranking fuzzy numbers with integral value are used in the evaluation and selection. 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) 1997 Elsevier Science Ltd.
Keywords:
evolutionary program
fuzzy numbers
multicriteria optimization
solid transportation problem
ranking fuzzy numbers
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Computers and Industrial Engineering cover
Computers and Industrial Engineering
IF:
6.5
Papers:
1.0W
Citations:
3.8W

Organization

No organization information available