Adaptive fractional-order Darwinian particle swarm optimization algorithm
The convergence performance of the fractional-order Darwinian particle swarm optimization (FO-DPSO) al-gorithm depends on the fractional-order α, and it can easily get trapped in the local optima. To overcome such shortcom-ing, an adaptive fractional-order Darwinian particle swarm optimization (AFO-...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-04-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.04.015/ |
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| _version_ | 1841539709883383808 |
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| author | Tong GUO Ju-long LAN Yu-feng LI Shi-wen CHEN |
| author_facet | Tong GUO Ju-long LAN Yu-feng LI Shi-wen CHEN |
| author_sort | Tong GUO |
| collection | DOAJ |
| description | The convergence performance of the fractional-order Darwinian particle swarm optimization (FO-DPSO) al-gorithm depends on the fractional-order α, and it can easily get trapped in the local optima. To overcome such shortcom-ing, an adaptive fractional-order Darwinian particle swarm optimization (AFO-DPSO) algorithm was proposed. In AFO-DPSO, both particle's position and velocity information were utilized adequately, together an adaptive acceleration coefficient control strategy and mutation processing mechanism were introduced for better convergence performance. Testing results on several well-known functions demonstrate that AFO-DPSO substantially enhances the performance in terms of convergence speed, solution accuracy and algorithm stability. Compared with PSO, HPSO, DPSO, APSO, FO-PSO, FO-DPSO and NCPSO, the global optimality of AFO-DPSO are greatly improved. |
| format | Article |
| id | doaj-art-1bdd654e999a466a9c8d1ade53e3374e |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-04-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-1bdd654e999a466a9c8d1ade53e3374e2025-01-14T06:43:12ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-04-013513014059681003Adaptive fractional-order Darwinian particle swarm optimization algorithmTong GUOJu-long LANYu-feng LIShi-wen CHENThe convergence performance of the fractional-order Darwinian particle swarm optimization (FO-DPSO) al-gorithm depends on the fractional-order α, and it can easily get trapped in the local optima. To overcome such shortcom-ing, an adaptive fractional-order Darwinian particle swarm optimization (AFO-DPSO) algorithm was proposed. In AFO-DPSO, both particle's position and velocity information were utilized adequately, together an adaptive acceleration coefficient control strategy and mutation processing mechanism were introduced for better convergence performance. Testing results on several well-known functions demonstrate that AFO-DPSO substantially enhances the performance in terms of convergence speed, solution accuracy and algorithm stability. Compared with PSO, HPSO, DPSO, APSO, FO-PSO, FO-DPSO and NCPSO, the global optimality of AFO-DPSO are greatly improved.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.04.015/fractional-orderDarwinian particle swarm optimizationevolution factorfractional-orderacceleration coef-ficients mutation mechanismadaptive |
| spellingShingle | Tong GUO Ju-long LAN Yu-feng LI Shi-wen CHEN Adaptive fractional-order Darwinian particle swarm optimization algorithm Tongxin xuebao fractional-orderDarwinian particle swarm optimization evolution factor fractional-order acceleration coef-ficients mutation mechanism adaptive |
| title | Adaptive fractional-order Darwinian particle swarm optimization algorithm |
| title_full | Adaptive fractional-order Darwinian particle swarm optimization algorithm |
| title_fullStr | Adaptive fractional-order Darwinian particle swarm optimization algorithm |
| title_full_unstemmed | Adaptive fractional-order Darwinian particle swarm optimization algorithm |
| title_short | Adaptive fractional-order Darwinian particle swarm optimization algorithm |
| title_sort | adaptive fractional order darwinian particle swarm optimization algorithm |
| topic | fractional-orderDarwinian particle swarm optimization evolution factor fractional-order acceleration coef-ficients mutation mechanism adaptive |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.04.015/ |
| work_keys_str_mv | AT tongguo adaptivefractionalorderdarwinianparticleswarmoptimizationalgorithm AT julonglan adaptivefractionalorderdarwinianparticleswarmoptimizationalgorithm AT yufengli adaptivefractionalorderdarwinianparticleswarmoptimizationalgorithm AT shiwenchen adaptivefractionalorderdarwinianparticleswarmoptimizationalgorithm |