西华大学学报（自然科学版）2016，Vol.35Issue(1)：73-76,4.DOI:10.3969/j.issn.1673-159X.2016.01.015
一种新型的带有小生境技术和精英集策略的多目标粒子群算法
A New Multi-objective Particle Swarm Algorithm with a Niche Technology and Elite Set Policies
摘要
Abstract
In order to improve the effectiveness and efficiency of the multi-objective particle swarm optimization ( pso) algorithm, by using niche technology to solve the fitness, this paper puts forward a new kind of multi -objective particle swarm optimization ( PSO) algorithm with a niche technology and elite set strategy. the fitness was solved with niche technology and the roulette method was utilized to select global best position with the fitness of each particle of elite set . The adjustment in the process of algorithm running was made in this paper and the small probability variation method was also used. Finally, the test function was adopted to verify the ef-fectiveness of the algorithm. The results show that the algorithm running time is 2. 113 s, multi-objective optimization ratio on particle swarm algorithm(4. 147s) was reduced by neraly half, and that the operation efficiency of the algorithm is greatly improved. The simu-lation results also show that the algorithm has better convergence and the solution has better uniformity.关键词
多目标优化/小生境技术/小概率变异/粒子群/精英集Key words
multi-objective optimization/niche technology/small probability variation/PSO/elite set分类
信息技术与安全科学引用本文复制引用
李艳丽,黄天民,刘雅雅..一种新型的带有小生境技术和精英集策略的多目标粒子群算法[J].西华大学学报（自然科学版）,2016,35(1):73-76,4.基金项目
中央高校基本科研业务费专项资金(swjtu11zt29). （swjtu11zt29）
