| 一种改进的粒子群优化算法及其应用 |
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| 引用本文： | 邹毅,朱晓萍,霍龙,赵连学.一种改进的粒子群优化算法及其应用[J].沈阳工程学院学报(自然科学版),2006,2(3):283-286. |
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| 作者姓名： | 邹毅 朱晓萍 霍龙 赵连学 |
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| 作者单位： | 1. 沈阳工程学院,电气工程系,沈阳,110136
2. 鸡西市郊区农电局,黑龙江,鸡西,158100 |
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| 摘 要： | 介绍了粒子群优化算法及其原理,针对其后期容易陷入局部极值的缺陷,提出了一种改进粒子群算法.改进算法采用全局最优粒子变异策略和部分粒子群部分维初始化策略.通过将其应用于(N M)容错系统模型的实例,对改进算法的性能进行了分析,结果表明,改进算法的搜索效率和精度均优于一般的粒子群算法,同时具有较好的收敛稳定性.
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| 关 键 词： | 粒子群算法 容错系统 费用模型 策略 |
| 文章编号： | 1673-1603(2006)03-0283-04 |
| 收稿时间： | 12 15 2005 12:00AM |
| 修稿时间： | 2005年12月15 |
An improved particle swarm optimization algorithm and its application |
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| ZOU Yi,ZHU Xiao-ping,HUO Long,ZHAO Lian-xue.An improved particle swarm optimization algorithm and its application[J].Journal of Shenyang Institute of Engineering:natural Science,2006,2(3):283-286. |
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| Authors: | ZOU Yi ZHU Xiao-ping HUO Long ZHAO Lian-xue |
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| Affiliation: | 1. Department of Electrical Engineering, Shenyang Institute of Engineering, Shenyang 110136, China; 2. Jixi Suburb Pural Power Bureau, Jixi 158100, China |
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| Abstract: | Introduces the particle swarm optimization algorithm and its principle,aiming at the shortcoming of being easy to fall into local extremum,puts forward an improved particle swarm optimization algorithm.It adopts the global optimal particle mutation strategy and part dimensions initialization strategy.By the example of applying it on the(N M) fault-tolerant system,analyzes its performance,results show the search efficiency and accuracy of improved particle swarm optimization algorithm are better than general algorithm,while with better convergence and stability. |
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| Keywords: | particle swarm optimization(PSO) algorithm fault-tolerant system cost model strategy |
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