| 基于模拟退火的混合差分演化算法研究 |
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| 引用本文： | 胡中波,熊盛武. 基于模拟退火的混合差分演化算法研究[J]. 计算机工程与设计, 2007, 28(9): 1989-1991,2102 |
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| 作者姓名： | 胡中波 熊盛武 |
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| 作者单位： | 武汉理工大学,计算机学院,湖北,武汉,430070;孝感学院,数学系,湖北,孝感,432100;武汉理工大学,计算机学院,湖北,武汉,430070 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) , 国家自然科学基金 , 孝感学院青年基金 |
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| 摘 要： | 介绍了一种求解函数优化问题的新策略--差分演化算法,与其它算法相比,该算法具有稳健性强,收敛速度快的优点;同时,把模拟退火策略融入到差分演化的过程中,提出了一个混合演化算法--基于模拟退火的混合差分演化算法,实验表明混合后的算法比单一的差分演化算法更稳健,收敛速度也略有提高.
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| 关 键 词： | 差分演化 模拟退火 稳健性 演化算法 变异操作 |
| 文章编号： | 1000-7024（2007）09-1989-03 |
| 修稿时间： | 2006-07-19 |
Study of hybrid differential evolution based on simulated annealing |
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| HU Zhong-bo,XIONG Sheng-wu. Study of hybrid differential evolution based on simulated annealing[J]. Computer Engineering and Design, 2007, 28(9): 1989-1991,2102 |
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| Authors: | HU Zhong-bo XIONG Sheng-wu |
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| Affiliation: | 1. School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China; 2. Department of Mathematics, Xiaogan University, Xiaogan 432100, China |
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| Abstract: | Differential evolution algorithm for the function optimization problems is introduced. The algorithm is much more robust and quicker in convergence than other evolution algorithms. At the same time, a new algorithm, hybrid differential evolution algorithm based on simulated annealing, is designed and tested by several nonlinear function optimization. The results indicated the proposed al- gorithm improve the efficiency of differential evolution algorithm and much more robust than simply differential evolution. |
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| Keywords: | differential evolution simulated annealing robustness evolutionary algorithms mutation operation |
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