%0 Journal Article %T A Multi-Objective Optimization Algorithm Based on Marginal Distribution Estimation
一种基于边缘分布估计的多目标优化算法 %A Li Bin %A Zhong Run-tian %A Xiao Jin-Chao %A Zhuang Zhen-quan %A
李斌 %A 钟润添 %A 肖金超 %A 庄镇泉 %J 电子与信息学报 %D 2007 %I %X A new multi-objective optimization algorithm based on marginal distribution estimation is proposed,in which marginal probability distribution of the selected better individuals is estimated and is used to guide the search of Pareto optimal solutions of the multi-objective optimization problems. Combined with non-dominant ranking,diversity preserving technique based on crowding mechanism,tournament selection based on non-dominant ranking,and elitist strategy,the algorithm achieves a good balance between convergence and diversity. A set of typical test functions are used to evaluate the performance of the proposed algorithm,and comparison is made between some well-known multi-objective optimization algorithms,i.e. NSGA-II,SPEA,PAES. The experimental results show that the proposed algorithm can achieve a good balance between convergence and diversity,and is suited to complex multi-objective problems. %K Multi-objective optimization %K Marginal distribution estimation %K Non-dominated solution %K Diversity
多目标优化 %K 边缘分布估计 %K 非支配解 %K 多样性 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=3A3B6EBA50BEC1A21535E525C4F43B52&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=40E8FEA07A3DBDC3&eid=0F150A05AE10A373&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=11