| 模拟退火并行粒子群优化算法程序设计与研究 |
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| 引用本文： | 赵世安,黄敢基. 模拟退火并行粒子群优化算法程序设计与研究[J]. 百色学院学报, 2006, 19(6): 9-12 |
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| 作者姓名： | 赵世安 黄敢基 |
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| 作者单位： | 1. 百色学院,数学与计算机科学系,广西百色,533000
2. 广西大学,数学与信息科学学院,广西南宁,530004 |
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| 摘 要： | 针对粒子群优化算法后期收敛差和模拟退火算法全局优化能力强的特点,建立模拟退火并行粒子群优化算法(SA-PSO算法)模型。利用MATLAB语言开发SA-PSO算法工具箱,实现SA-PSO算法的程序设计,高效、稳定地提高算法全局寻优能力。
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| 关 键 词： | 模拟退火 粒子群优化算法 MATLAB 程序设计 |
| 文章编号： | 1673-8233（2006）06-0009-04 |
| 收稿时间： | 2006-11-26 |
| 修稿时间： | 2006-11-26 |
Design and Study of Particle Swarm Optimization with Simulated Annealing |
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| ZHAO Shi-an,HUANG Gan-ji. Design and Study of Particle Swarm Optimization with Simulated Annealing[J]. , 2006, 19(6): 9-12 |
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| Authors: | ZHAO Shi-an HUANG Gan-ji |
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| Affiliation: | 1. Department of Mathematics and Computer Science, Baise University, Baise Guangxi 533000, China; 2. College of Mathematics and Information Science, Guangxi University, Nanning Guangxi 530004, China |
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| Abstract: | The SA-PSO model is established based on the characteristics of poor convergence of the particle swarm optimization and great power of global optimization of simulated annealing.The MATLAB is employed to develop the SA-PSO Algorithm Tool Box to realize its programming and improve the power of global optimization effectively and stably. |
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| Keywords: | simulated annealing particle swarm optimization MATLAB programming |
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