| 粒子群优化算法的研究与应用 |
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| 引用本文： | 冯雪,裴志松.粒子群优化算法的研究与应用[J].吉林建筑工程学院学报,2011,28(3):85-87. |
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| 作者姓名： | 冯雪 裴志松 |
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| 作者单位： | 长春工业大学人文信息学院,长春,130122 |
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| 基金项目： | 吉林省高等教育教育教学研究课题 |
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| 摘 要： | 粒子群算法(PSO)因其容易实现,精度高及收敛快等特性,在解决实际问题中经常被广泛使用.但粒子群算法也有不易跳出局部最优的问题,所以本文基于该算法,提出一种基于分工合作的改进型粒子群优化算法.经过优化后,可以对所有粒子执行搜索,寻找更优个体,从而使算法更加适合实际应用.
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| 关 键 词： | 粒子群算法 全局优化 分工合作 |
Partical Swarm Optimization Algorithm Research and Application |
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| FENG Xue,PEI Zhi-song.Partical Swarm Optimization Algorithm Research and Application[J].Journal of Jilin Architectural and Civil Engineering,2011,28(3):85-87. |
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| Authors: | FENG Xue PEI Zhi-song |
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| Affiliation: | (College of Humanities ＆ Information,Changchun University of Technology,Changchun,China 130122) |
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| Abstract: | Particle swarm optimization（PSO） because of its easy to implement,high precision and fast convergence properties,in solving practical problems are often widely used.However,PSO is also not easy to jump out of local optimum.So based on this algorithm in proposed,division of labor and cooperation based on improved particle swarm optimization in proposed.After optimization,all the particles can perform a search,looking for better individuals,which is the algorithm more suitable for practical application. |
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| Keywords: | PSO global optimization division of labor and cooperation |
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