| 模拟退火改进粒子群优化算法求解优化问题 |
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| 引用本文： | 汪灵枝.模拟退火改进粒子群优化算法求解优化问题[J].柳州师专学报,2006,21(3):101-103. |
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| 作者姓名： | 汪灵枝 |
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| 作者单位： | 柳州师范高等专科学校,数学与计算机科学系,广西,柳州,545004 |
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| 摘 要： | 针对粒子群优化算法后期易陷于局部最小的缺点,引入模拟退火思想,建立模拟退火—粒子群优化算法。通过求解函数优化问题对比实验,表明改进后的粒子群优化算法增强全局寻优能力,搜索成功率大为提高。
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| 关 键 词： | 粒子群优化算法 模拟退火 优化 |
| 文章编号： | 1003-7020(2006)03-0101-03 |
| 收稿时间： | 2006-05-08 |
| 修稿时间： | 2006年5月8日 |
Optimization of the Solution to the Problems Simulated Annealing to Improve Particle Swarm Algorithm |
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| WANG Ling-zhi.Optimization of the Solution to the Problems Simulated Annealing to Improve Particle Swarm Algorithm[J].Journal of Liuzhou Teachers College,2006,21(3):101-103. |
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| Authors: | WANG Ling-zhi |
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| Institution: | Department of Mathematics and Computer Science, Liuzhou Teachers College, Liuzhou, Guangxi 545004, China |
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| Abstract: | In dealing with the problem of Particle Swarm Optimization(PSO) algorithm evolving program,this paper aims at an adoption of Simulated Annealing(SA) to improve the particle swarm algorithm and establish an SA-PSO optimization model.The applied example of function optimization and calculation result indicate that SA-PSO method can improve the seeking the global excellence and its stability. |
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| Keywords: | particle swarm optimization simulated annealing algorithm optimization |
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