%0 Journal Article
%T Genetic Algorithms Based on Fuzzy Evaluation for Multicriterion Function Optimization<br>基于模糊优选的多目标优化遗传算法
%A LIN Yan
%A HAO Ju-min
%A JI Zhuo-shang
%A <br>林焰
%A 郝聚民
%A 纪卓尚
%J 系统工程理论与实践
%D 1999
%I 
%X 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.
%K fuzzy evaluation
%K multicriterion function optimization
%K genetic algorithm<br>模糊优选
%K 多目标优化
%K 遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=BAF87E7FDAEF8DE2&yid=B914830F5B1D1078&vid=2A8D03AD8076A2E3&iid=59906B3B2830C2C5&sid=4AD960B5AD2D111A&eid=42425781F0B1C26E&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=10&reference_num=0