An interactive fuzzy satisfying method for multiobjective nonlinear integer programming problems through genetic algorithms

被引：0

作者：

Sakawa, M ^{[1
]}

Kato, K ^{[1
]}

机构：

[1] Hiroshima Univ, Higashihiroshima 7398527, Japan

来源：

FUZZY SETS AND SYSTEMS - IFSA 2003, PROCEEDINGS | 2003年 / 2715卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a general-purpose solution method for nonlinear integer programming problems by extending genetic algorithms with double strings for linear ones. After describing the proposed genetic algorithm, its efficiency will be shown through numerical experiments using single-objective nonlinear programming problems. Furthermore, focusing on multiobjective nonlinear integer programming problems, we present an interactive fuzzy satisficing method through the proposed genetic algorithm.

引用

页码：710 / 717

页数：8

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