Particle Swarm Optimization for Constrained and Multiobjective Problems:A Brief Review
作者单位：Faculty of Engineering and Technology Multimedia UniversityMalaysia Faculty of Engineering Multimedia UniversityMalaysia Knowledge Engineering & Discovery Research Institute Auckland University of TechnologyNew Zealand Faculty of Management Multimedia UniversityMalaysia
会议名称：《2011 International Conference on Management and Artificial Intelligence（ICMAI 2011）》
会议日期：2011年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 070105[理学-运筹学与控制论] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：Constrained optimization problems multiobjective optimization problems particle swarm optimization
摘 要：Particle swarm optimization （PSO） is an optimization method that belongs to the swarm intelligence *** was initially introduced as continuous problem optimization *** has evolved to being applied to more complex multiobjective and constrained *** paper presents a systematic literature review of PSO for constrained and multiobjective optimization problems.