| 粒子群优化算法在多峰函数寻优上的应用 |
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| 引用本文： | 满春涛,孙明辉,张礼勇.粒子群优化算法在多峰函数寻优上的应用[J].哈尔滨理工大学学报,2007,12(2):11-13,18. |
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| 作者姓名： | 满春涛 孙明辉 张礼勇 |
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| 作者单位： | 哈尔滨理工大学,自动化学院,黑龙江,哈尔滨,150080 |
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| 基金项目： | 哈尔滨市学科后备带头人基金项目(2005AFXJ020)，黑龙江省研究生创新科研项目(YJSCX2005-246HLJ)． |
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| 摘 要： | 本文将模拟退火算法的思想引入到粒子群优化算法中,并且通过改变粒子群优化算法的惯性权值递减策略及更新位置的限制,来加速算法的收敛．算法经过对多峰函数的寻优测试,证明了这种改进算法与自适应粒子群优化算法相比较,不容易陷入局部最优,全局寻优能力更强,收敛速度更快．
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| 关 键 词： | 粒子群优化算法 全局优化 模拟退火算法 非线性递减策略 |
| 文章编号： | 1007-2683（2007）02-0011-03 |
| 修稿时间： | 2006-05-09 |
Application of Particle Swarms Optimization Algorithm on Multi-modality Function Optimization |
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| MAN Chun-tao,SUN Ming-hui,Zhang Li-yong.Application of Particle Swarms Optimization Algorithm on Multi-modality Function Optimization[J].Journal of Harbin University of Science and Technology,2007,12(2):11-13,18. |
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| Authors: | MAN Chun-tao SUN Ming-hui Zhang Li-yong |
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| Affiliation: | College of Automation, Harbin Univ. Sci. Tech. , Harbin 150080, China |
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| Abstract: | This paper addressed a study of bringing the simulated annealing algorithm into the particle swarms optimization algorithm,and changing strategy of decreasing inertia weight and limiting the update position to accel- erate the convergent speed.According to some optimization tests of the multi-modality function,it is found that this algorithm can overcome the local optimization,and has a stronger ability of global optimization and a fast con- vergent speed compared with adaptive particle swarms optimization algorithm. |
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| Keywords: | PSO global optimization SA nonlinear decreasing strategy |
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