An improved multi-objective evolutionary algorithm based on point of reference
In the article presents a new evolutionary algorithms,this algorithm is based on reference points.This algorithm according to a archive find the non-dominated solution,and make this solution from large to small order according to crowding distance and let the space is divided to several small space equidistant,in each the subspace to obtain its centroid as the reference point.The method used in this paper are not predefined reference point but in the course of evolution according to the current state of dynamic reference point particles to guide the evolution,finally using five effectiveness test functions prove algorithm.
Boyi Zhang Xue Zhou Yuqing Liu Xiangli Xu Libiao Zhang
School of Information Science and technology,Northeast Normal University,Changchun,China Department of Information Operation and Command Training,NDU of PLA,Beijing,China
国际会议
上海
英文
1-6
2017-12-28(万方平台首次上网日期,不代表论文的发表时间)