| 一种基于双子群的改进粒子群优化算法 |
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| 引用本文： | 张英杰,李 亮,张英豪,罗春松. 一种基于双子群的改进粒子群优化算法[J]. 湖南大学学报(自然科学版), 2011, 38(1): 84-88 |
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| 作者姓名： | 张英杰 李 亮 张英豪 罗春松 |
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| 作者单位： | 1. 湖南大学,计算机与通信学院,湖南,长沙,410082
2. 湖南机电职业技术学院,湖南,长沙,410151 |
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| 基金项目： | 国家自然科学基金资助项目(60634020); 湖南省科技计划重点资助项目(2010GK2022) |
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| 摘 要： | 针对粒子群优化算法易于陷入局部最优解并存在早熟收敛的问题,提出了一种基于双子群的改进粒子群优化算法(TS-IPSO),通过2组搜索方向相反的主、辅子群之间的相互协同,扩大搜索范围,借鉴遗传算法的杂交机制,并采用惯性权值的非线性递减策略,加快算法的收敛速度和提高粒子的搜索能力,降低了算法陷入局部极值的风险.实验结果表明该...
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| 关 键 词： | 收敛性 粒子群优化算法 子群 杂交机制 遗传算法 |
An Improved Particle Swarm Optimization Algorithm Based on Two-subpopulation |
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| ZHANG Ying-jie,LI Liang,ZHANG Ying-hao,LUO Chun-song. An Improved Particle Swarm Optimization Algorithm Based on Two-subpopulation[J]. Journal of Hunan University(Naturnal Science), 2011, 38(1): 84-88 |
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| Authors: | ZHANG Ying-jie LI Liang ZHANG Ying-hao LUO Chun-song |
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| Affiliation: | ZHANG Ying-jie1,LI Liang1,ZHANG Ying-hao2,LUO Chun-song1(1.College of Computer and Communication,Hunan Univ,Changsha,Hunan 410082,China,2.Hunan Mechanical and Electrical Polytechnic,Hunan 410151,China) |
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| Abstract: | Particle Swarm Optimization algorithm easily gets stuck at local optimal solution and shows premature convergence.An improved Particle Swarm Optimization algorithm based on two-subpopulation(TS-IPSO) was proposed.The search range of the algorithm was extended through main subpopulation particle swarm and assistant subpopulation particle swarm,whose search direction was inversed completely.It also adopts the crossbreeding mechanism in genetic algorithm,and uses non-linear inertia weight reduction strategy to... |
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| Keywords: | convergence Particle Swarm Optimization(PSO) algorithm subpopulation crossbreeding genetic arithmetic |
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