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基于模糊逻辑的多目标优化问题遗传算法求解探讨
引用本文:陈爱国,周世俊. 基于模糊逻辑的多目标优化问题遗传算法求解探讨[J]. 河南科学, 2006, 24(4): 482-484
作者姓名:陈爱国  周世俊
作者单位:广州航海高等专科学校,轮机系,广州,510725;郑州大学,信息工程学院,郑州,450052
基金项目:广州航海高等专科学校校科研和教改项目
摘    要:基于群体搜索的遗传算法求解多目标优化问题具有独特的优势,鉴于决策者事先对于各目标的重要性一般只有模糊的认识,文中对各目标进行了模糊化处理,构造了适应值函数,提出了基于模糊逻辑的多目标优化问题遗传算法求解方案.

关 键 词:模糊逻辑  多目标优化问题  遗传算法
文章编号:1004-3918(2006)04-0482-03
收稿时间:2006-02-19
修稿时间:2006-02-19

The Approach to Solving Multi-Objective Optimization Problems Applying Genetic Algorithm Based on Fuzzy Logic
CHEN Ai-guo,ZHOU Shi-jun. The Approach to Solving Multi-Objective Optimization Problems Applying Genetic Algorithm Based on Fuzzy Logic[J]. Henan Science, 2006, 24(4): 482-484
Authors:CHEN Ai-guo  ZHOU Shi-jun
Affiliation:1. Department of Marine Engineering, Guangzhou Maritime College, Guangzhou 510725, China; 2. Information Engineering School, Zhengzhou University, Zhengzhou 450052, China
Abstract:Genetic algorithms based on colony searching are especially suitable for solving multi-objective optimization problems.Whereas decision-making people only have fuzzy cognition to each objective′s importance in advance,By fuzzy disposing each objective and constructing fitness function,the paper put forward the approach to solving multi-objective optimization problems applying genetic algorithm based on fuzzy logic.
Keywords:fuzzy logic   multi-objective optimization  genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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