计算机应用与软件2011，Vol.28Issue(1)：246-248,262,4.
基于参考点和投票规则的多目标粒子群优化群体决策
MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION FOR GROUP DECISION MAKING BASED ON REFERENCE POINTS AND VOTING RULES
麦雄发 1李玲2
作者信息
- 1. 广西师范学院数学科学学院,广西,南宁,530001
- 2. 广西师范学院继续教育学院,广西,南宁,530001
- 折叠
摘要
Abstract
In this paper, to solve the group decision making problem among massive options, the author present a new algorithm of multi-objective particle swarm optimization based on reference points.This algorithm takes the dominate relationship or distances between individuals and reference points as the important factor,and embeds voting rules which is based on dominate relationship or distances factor into tournament method for leader' s selection, local best updating rule as well as pruning strategy of exterior population archives in order to find the solution of group decision making and to make the search more effective.Simulation results show that the proposed algorithm is effective.关键词
群体决策/参考点/粒子群算法/多目标优化/投票规则引用本文复制引用
麦雄发,李玲..基于参考点和投票规则的多目标粒子群优化群体决策[J].计算机应用与软件,2011,28(1):246-248,262,4.
