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基于二次繁殖的自适应差分演化算法
引用本文:黄小城,王希武,许宗贤,靳波,米二强. 基于二次繁殖的自适应差分演化算法[J]. 军械工程学院学报, 2010, 22(2): 68-73
作者姓名:黄小城  王希武  许宗贤  靳波  米二强
作者单位:[1]军械工程学院计算机工程系,河北石家庄050003 [2]92510部队,广东湛江524096
摘    要:分析了差分演化算法的基本原理,针对基本差分演化算法对控制参数选择敏感性强、算法后期收敛速度较慢等问题,提出了基于二次繁殖的自适应差分演化算法,并通过实验对改进算法的性能进行测试。实验结果表明,改进算法的性能优于基本差分演化算法和自适应差分演化算法。

关 键 词:差分演化  二次繁殖  自适应  动态更新

A Self-adaptive Differential Evolution Algorithm Based on Quadratic Propagation
HUANG Xiao-cheng,WANG Xi-wu,XU Zong-xian,JIN Bo,MI Er-qiang. A Self-adaptive Differential Evolution Algorithm Based on Quadratic Propagation[J]. Journal of Ordnance Engineering College, 2010, 22(2): 68-73
Authors:HUANG Xiao-cheng  WANG Xi-wu  XU Zong-xian  JIN Bo  MI Er-qiang
Affiliation:1. Department of Computer Engineering, Ordnance Engineering College, Shijiazhuang 050003, China; 2. PLA Unit 92510,Zhanjiang 524096,China)
Abstract:The basic principle of differential evolution algorithm is analyzed. A self-adaptive differential evolution algorithm based on quadratic propagation is proposed, aiming at the sensitivity of the original differential evolution algorithm at the selection of control parameters and the slow constringency speed in the later evolution period of the algorithm. The capability of the modified algorithm is tested via experiment. The results of the experiment demonstrate that the modified algorithm is superior to the original differential evolution algorithm and the self-adaptive differential evolution algorithm.
Keywords:differential evolution  quadratic propagation  self-adaptation  dynamic updating
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