摘要： 针对数值优化问题，对差异演化算法进行改进，获得多子差异演化算法。将多子差异演化算法和基于自适应搜索子空间的郭涛算法融合到文化算法的框架中，提出一种新的文化算法。实验结果表明，与多子差异演化算法、差异演化算法和基于自适应搜索子空间的郭涛算法相比，该算法收敛速度快，不易陷入局部最优，所得解的质量更好。
关键词:
差异演化算法,
多子差异演化算法,
郭涛算法,
文化算法,
数值优化
Abstract: To solve the numerical optimization problems, the Multi-child Differential Evolution(MCDE) algorithm is proposed, by improving the Differential Evolution Algorithm(DEA). A cultural algorithm is proposed, by integrating MCDE algorithm and Guotao algorithm based on Variable Searching Subspace(VSSGT) into the culture algorithm framework. Numerical experimental results indicate that the proposed algorithm has fast convergence speed, is not easy to fall into local optimal, and the performance is better than MCDE algorithm, DEA and VSSGT algorithm.
Key words:
Differential Evolution Algorithm(DEA),
Multi-child Differential Evolution(MCDE) algorithm,
Guotao algorithm,
cultural algorithm,
numerical optimization
中图分类号:
李霞, 张敬敏, 李瑞华, 刘坤起. 基于差异演化算法和郭涛算法的文化算法[J]. 计算机工程, 2012, 38(13): 178-181.
LI Xia, ZHANG Jing-Min, LI Rui-Hua, LIU Kun-Qi. Cultural Algorithm Based on Differential Evolution Algorithm and Guotao Algorithm[J]. Computer Engineering, 2012, 38(13): 178-181.