提示
焦永昌
-
24浏览
-
0点赞
-
0收藏
-
0分享
-
133下载
-
0评论
-
引用
期刊论文
Integrating the Simplified Interpolation into the Genetic Algorithm for Constrained Optimization Problems
Y. Hao et al. (Eds.): CIS 2005, Part I, LNAI 3801, pp. 247-254, 2005.，-0001，（）：
In this paper, a hybrid genetic algorithm for solving constrained optimization problems is addressed. First, a real-coded genetic algorithm is presented. The simplified quadratic interpolation method is then integrated into the genetic algorithm to improve its local search ability and the accuracy of the minimum function value. Simulation results on 13 benchmark problems show that the proposed hybrid algorithm is able to avoid the premature convergence and find much better solutions with high speed compared to other existing algorithms.
【免责声明】以下全部内容由[焦永昌]上传于[2007年11月07日 10时01分22秒]，版权归原创者所有。本文仅代表作者本人观点，与本网站无关。本网站对文中陈述、观点判断保持中立，不对所包含内容的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考，并请自行承担全部责任。
本学者其他成果
同领域成果
