电子学报Issue(9)：1816-1825,10.DOI:10.3969/j.issn.0372-2112.2015.09.021
基于引导个体的预测策略求解动态多目标优化问题
A Prediction Strategy Based on Guide-lndividual for Dynamic Multi-Objective Optimization
摘要
Abstract
Many real-world problems are dynamic multi-objective optimization problem.This kind of problem has multiple objectives,and these objectives change constantly due to the influence of environment.In this paper,a prediction strategy based on guide-individual (GIPS)is proposed.When environment changes,by recording the different center positions between populations in the initial environment and the ones evolving independently after a short time,GIPS predicts the direction of the optimal solutions. Moreover,from uniformly distributed individuals detected in the prediction direction,GIPS selects a bunch of non-dominated individ-uals as the guide-individuals for the current environment.In addition,the proposed strategy randomly generates a number of associat-ed guide-individuals within a small area in order to avoid population to be trapped into local optimum.Compared with two state-of-the-art prediction-based dynamic multi-objective optimization algorithms,GIPS show faster response to the environmental changes.关键词
动态多目标优化/进化算法/预测/引导个体Key words
dynamic multi-objective optimization/evolutionary algorithms/prediction/guide-individual引用本文复制引用
郑金华,彭舟,邹娟,申瑞珉..基于引导个体的预测策略求解动态多目标优化问题[J].电子学报,2015,(9):1816-1825,10.基金项目
国家自然科学基金（No．61379062）；湖南省自然科学基金（No．14JJ2072）；湖南省科技厅项目（No．2013SK3136）；湖南省科技计划项目（No．2014GK3027）；湖南省教育厅重点科研项目（No．12A135）；湖南省研究生创新基金 （）
