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Solving bicriteria solid transportation problem with fuzzy numbers by a genetic algorithm
Authors:Mitsuo Gen   Kenichi Ida   Yinzhen Li  Erika Kubota
Affiliation:

Department of Industrial and Systems Engineering Ashikaga Institute of Technology, Ashikaga, 326, Japan

Abstract:The proposed Genetic Algorithms (GAs) are incorporated with problem-specific knowledge and the decision maker's degree of optimism, and the criteria space approach for bicriteria linear program conductive to find out the nondominated extreme points in the criteria space.
Keywords:genetic algorithms   bicriteria optimization technique   solid transportation problem   ranking fuzzy numbers
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