电子学报2016，Vol.44Issue(11)：2639-2645,7.DOI:10.3969/j.issn.0372-2112.2016.11.011
基于权值向量的偏好多目标优化方法
A Weight Vector Based Mu lti-objective Opti mization Algorith m with Preference
摘要
Abstract
Multi-objective optimization algorithms with preference are an important branch of multi-objective optimiza-tion.Its main aim is to find the Pareto optimal solutions in local regions interested by Decision Makers.Based on the idea of MOEA/D algorithm to search the Pareto front according to uniformly distributed weight vector,this paper proposes a weight vector based multi-objective optimization algorithm with preference.In the proposed method,the weight vector with preference is designed,by which the solutions around the preferred point interested by Decision Maker are found.Compared with existing algorithms,the simulation results verify that the proposed method can support multiple reference points,flexibly control the ex-tent of preferred region,have no special requirement of the position of preference points and achieve better converge.关键词
多目标优化/偏好多目标优化算法/权值向量/偏好解Key words
multi-objective optimization/multi-objective optimization algorithms with preference/weight vector/pre-ferred solution分类
信息技术与安全科学引用本文复制引用
张兴义,蒋小三,张磊..基于权值向量的偏好多目标优化方法[J].电子学报,2016,44(11):2639-2645,7.基金项目
国家自然科学基金（No．61272152，No．61502001）；安徽大学学校学术与技术带头人引进工程 （）
