New chaos-particle swarm optimization algorithm
The original particle swarm optimization (PSO)algorithm has the advantages of fast convergence,but with the shortcoming of premature and local convergence.To overcome this problem,a new chaos-particle swarm optimization algorithm was presented,which was different from the conventional method of repl...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2012-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0024-07/ |
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| _version_ | 1841539937469464576 |
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| author | Xiao-bo XU Kang-feng ZHENG Dan LI Bin WU Yi-xian YANG |
| author_facet | Xiao-bo XU Kang-feng ZHENG Dan LI Bin WU Yi-xian YANG |
| author_sort | Xiao-bo XU |
| collection | DOAJ |
| description | The original particle swarm optimization (PSO)algorithm has the advantages of fast convergence,but with the shortcoming of premature and local convergence.To overcome this problem,a new chaos-particle swarm optimization algorithm was presented,which was different from the conventional method of replacing pre-particle.Instead,the algorithm in this paper made the motion of particles with characteristics of chaos，so as to make particles move between the state of chaos and stable,and gradually close to the optimal value.The nonlinear dynamics of the proposed Mathematical model are analyzed,and the results of the experiment show that the proposed algorithm can result in encouraging results. |
| format | Article |
| id | doaj-art-3c1b2927952f4eb9a9a024362ec7cb09 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-3c1b2927952f4eb9a9a024362ec7cb092025-01-14T06:30:48ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-01-0133243059659257New chaos-particle swarm optimization algorithmXiao-bo XUKang-feng ZHENGDan LIBin WUYi-xian YANGThe original particle swarm optimization (PSO)algorithm has the advantages of fast convergence,but with the shortcoming of premature and local convergence.To overcome this problem,a new chaos-particle swarm optimization algorithm was presented,which was different from the conventional method of replacing pre-particle.Instead,the algorithm in this paper made the motion of particles with characteristics of chaos，so as to make particles move between the state of chaos and stable,and gradually close to the optimal value.The nonlinear dynamics of the proposed Mathematical model are analyzed,and the results of the experiment show that the proposed algorithm can result in encouraging results.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0024-07/particle swarmchaoschaos-particle swarmoptimization algorithm |
| spellingShingle | Xiao-bo XU Kang-feng ZHENG Dan LI Bin WU Yi-xian YANG New chaos-particle swarm optimization algorithm Tongxin xuebao particle swarm chaos chaos-particle swarm optimization algorithm |
| title | New chaos-particle swarm optimization algorithm |
| title_full | New chaos-particle swarm optimization algorithm |
| title_fullStr | New chaos-particle swarm optimization algorithm |
| title_full_unstemmed | New chaos-particle swarm optimization algorithm |
| title_short | New chaos-particle swarm optimization algorithm |
| title_sort | new chaos particle swarm optimization algorithm |
| topic | particle swarm chaos chaos-particle swarm optimization algorithm |
| url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0024-07/ |
| work_keys_str_mv | AT xiaoboxu newchaosparticleswarmoptimizationalgorithm AT kangfengzheng newchaosparticleswarmoptimizationalgorithm AT danli newchaosparticleswarmoptimizationalgorithm AT binwu newchaosparticleswarmoptimizationalgorithm AT yixianyang newchaosparticleswarmoptimizationalgorithm |