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针对非均匀问题的多目标进化算法
引用本文:薛娟,李旭勇,郑金华. 针对非均匀问题的多目标进化算法[J]. 计算机工程与应用, 2006, 42(28): 46-48,82
作者姓名:薛娟  李旭勇  郑金华
作者单位:湖南财经高等专科学校信管系,长沙,410205;湘潭大学信息工程学院,湖南,湘潭,411105
摘    要:文章针对解集分布非均匀的问题,提出了一种新的多目标进化算法,称之为GNEA(带小生境的网格进化算法)。在算法中,针对分均匀问题的特点,采用了小生境技术来保持解集的局部非均匀分布,以及网格技术来保证整个解集的分布度。为了让GNEA运行效率更高,提出了用庄家法构造非支配集的方法。最后通过与其他算法进行比较,验证了算法具有较好的运行效率,且在解决非均匀问题上是一种有效的多目标进化算法。

关 键 词:多目标进化算法  网格  小生境  非均匀
文章编号:1002-8331(2006)28-0046-03
收稿时间:2006-02-01
修稿时间:2006-02-01

A Multi-Objective Evolutionary Algorithm for Non-uniform Problem
XUE Juan,LI Xu-yong,ZHENG Jin-hua. A Multi-Objective Evolutionary Algorithm for Non-uniform Problem[J]. Computer Engineering and Applications, 2006, 42(28): 46-48,82
Authors:XUE Juan  LI Xu-yong  ZHENG Jin-hua
Affiliation:1.Department of Information Management,Hunan College of Finance and Economics,Changsha 410205;2.The Institute of Information Technology, Xiangtan University, Xiangtan, Hunan 411105
Abstract:In this paper,a grids technique based on niching evolutionary algorithm for multi-objective optimization(GNEA) is proposed,which aims to solve non-uniform problems.GNEA applies niche technique to keep the non-uniform distribution of local solutions,and grid division to maintain diversity of the globe solutions.To make GNEA more efficient,we propose to construct the non-dominated set with the Dealer’s Principle.We compare our GNEA with two popular MOEAs,and it is validated by experiment that the algorithm has well-distributed set of Pareto-Optimal Solutions in a small computational time and it can be adapted to non-uniform problems.
Keywords:multi-objective evolutionary algorithm   Grid   niche technique   non-uniform
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