| 非线性随机扰动的粒子群优化算法 |
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| 引用本文： | 张少辉,吴文欢,韩秋英.非线性随机扰动的粒子群优化算法[J].周口师范学院学报,2012,29(5):98-100. |
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| 作者姓名： | 张少辉 吴文欢 韩秋英 |
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| 作者单位： | 周口师范学院计算机科学与技术学院,河南周口,466001 |
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| 基金项目： | 国家自然科学基金项目(No.61103143);周口师范学院青年科研基金项目(No.2012QNB01) |
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| 摘 要： | 在惯性权重非线性递减策略的基础上,引入小阻尼振荡函数,提出一种新的非线性递减随机扰动的粒子群算法,通过2个基准测试函数对算法性能和收敛性进行了分析.实验仿真表明：相对于标准粒子群算法,新策略加快了收敛速度,在一定程度上避免了粒子群优化算法的早熟收敛问题.
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| 关 键 词： | 惯性权重 粒子群优化算法 非线性递减 随机扰动 |
A particle swarm optimization algorithm based on nonlinear random disturbance |
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| ZHANG Shaohui,WU Wenhuan,HAN Qiuying.A particle swarm optimization algorithm based on nonlinear random disturbance[J].Journal of Zhoukou Normal University,2012,29(5):98-100. |
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| Authors: | ZHANG Shaohui WU Wenhuan HAN Qiuying |
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| Institution: | (College of Computer Science and Technology,Zhoukou Normal University,Zhoukou 466001,China) |
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| Abstract: | This paper introduced the small damping oscillation function based on the nonlinear decreasing inertia weight strategy,and presented a new nonlinear decreasing random perturbation of particle swarm optimization algorithm,and conducted performance testing of the algorithm through the two benchmark test functions.Simulation results indicate that new strategy improve the algorithm speed of convergence,and avoid the premature convergence of particle swarm optimization relative to the standard particle swarm algorithm. |
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| Keywords: | inertia weight particle swarm optimization algorithm nonlinear decreasing random disturbance |
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