基于模糊优选的多目标优化遗传算法  

Genetic Algorithms Based on Fuzzy Evaluation for Multicriterion Function Optimization

作　　者：林焰[1] 郝聚民[1] 纪卓尚[1] 

机构地区：[1]大连理工大学船舶CAD工程中心,辽宁大连116023

出　　处：《系统工程理论与实践》1999年第12期31-37,共7页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金

摘　　要：综述了多目标优化的传统方法，介绍了多目标优化的遗传算法解决策略，建立了基于模糊优选技术的多目标优化遗传算法模型．对用模糊优选理论解决多目标优化问题的有效性进行了证明．通过算例证明了理论体系的正确性和工程应用的实用性．The paper summarizes the traditional methods for multicriterion function optimization and introduces some genetic strategies for multicriterion function optimization. In order to solve the problem more efficiently, we incorporate new fuzzy evaluation technique into genetic algorithm to replace the fitness function. The new model is proved to be correct in theory and an example of function optimization with two objectives is given at the end of the paper which shows that the new model is very efficient.

关 键 词：模糊优选 多目标优化 遗传算法 

分 类 号：O242.23[理学—计算数学]