华东理工大学学报（自然科学版）2018，Vol.44Issue(1)：90-96,7.DOI:10.14135/j.cnki.1006-3080.20170120001
基于支配度迁移模型的多目标生物地理学优化算法
Multi-objective Biogeography Optimization Algorithm Based on Dominance Degree Migration Model
摘要
Abstract
Traditional multi objective evolutionary algorithm (MOEAs) may result in slow convergence on Pareto front and poor distribution of solution sets for MOPs.In order to deal with these shortcomings,this paper proposes a multi-objective biogeography optimization algorithm based on the migration model of dominance degree (MOBBO).The proposed migration model makes full use of the information among the Pareto solutions so as to carry out the effective individual evaluation and the habitat sorting.In addition,this paper presents a self-adaptive migration strategy based on feature database for producing offspring with better features to strengthen the search ability.Meanwhile,in order to enhance the distribution of solutions during the evolution,this paper further modify the K-nearest neighbor (KNN) density estimation methods to discard overcrowded individuals.Numerical experiments on ZDT and DTLZ series and the condensation process of MDI verify the fast convergence and good distribution of MOBBO.关键词
生物地理学优化/多目标优化/支配度迁移模型/自适应迁移Key words
biogeography optimization/multi-objective optimization/migration model of dominance degree/self-adaptive migration分类
信息技术与安全科学引用本文复制引用
黄浙铭,祁荣宾..基于支配度迁移模型的多目标生物地理学优化算法[J].华东理工大学学报（自然科学版）,2018,44(1):90-96,7.基金项目
国家重点研发计划项目(2016YFB0303401) （2016YFB0303401）
国家自然科学基金青年项目(21506050) （21506050）
中央高校基本科研业务费 （）
上海市自然科学基金(15ZR1408900) （15ZR1408900）
