| 自适应差分进化算法 |
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| 引用本文： | 高岳林,刘俊芳.自适应差分进化算法[J].河北工程大学学报,2008,25(4):107-109. |
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| 作者姓名： | 高岳林 刘俊芳 |
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| 作者单位： | 北方民族大学信息与系统科学研究所，宁夏大学数学与计算机学院 |
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| 摘 要： | 提出了一种自适应差分进化算法,该算法在计算过程中自适应调整缩放因子,在搜索初期保持种群的多样性和增强全局搜索能力,后期有利于局部搜索提高算法的精度。数值实验结果表明,该算法有效的避免早熟,提高了全局寻优能力。该算法的性能优于基本微分进化算法。
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| 关 键 词： | 差分进化算法 自适应 缩放因子 全局优化 |
| 收稿时间： | 2008/9/12 0:00:00 |
Adaptive differential evolution algorithm |
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| Authors: | GAO Yue-lin and LIU Jun-fang |
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| Affiliation: | Research Institute of Information and System Computation Science,North National University,Yinchuan 750021,China;School of Mathematics and Computer,Ningxia University,Yinchuan 750021,China |
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| Abstract: | An adaptive differential evolution algorithm is presented.It adjusts scale factor adaptively according to the computation process in order to preserve the diversity of population at the initial generation as well as to enhance the global searching ability and to improve local searching capacity and precision of solution finally.Experimental results show that the presented algorithm can avoid premature convergence effectively and enhance the global searching ability. |
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| Keywords: | differential evolution algorithm adaptive scale factor global optimization |
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