基于引导个体的预测策略求解动态多目标优化问题
郑金华;彭舟;邹娟;申瑞珉
【期刊名称】《电子学报》 【年(卷),期】2015(000)009
【摘要】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.%很多现实的优化问题都是动态多目标问题，这类问题不仅具有多个目标，并且也受环境的影响不断变化。本文基于引导个体的预测策略提出一种新的求解动态多目标优化问题的策略。通过记录每次环境
基于引导个体的预测策略求解动态多目标优化问题
