文献类型：期刊文献

英文题名：A hybrid genetic algorithm for a class of global optimization problems with box constraints

作者：Yuan, Quan[1];He, Zhiqing[1];Leng, Huinan[1]

机构：[1]E China Univ Sci & Technol, Dept Math, Shanghai 200237, Peoples R China

年份：2008

卷号：197

期号：2

起止页码：924

外文期刊名：APPLIED MATHEMATICS AND COMPUTATION

收录：;EI(收录号：20080911117180);WOS:【SCI-EXPANDED(收录号:WOS:000254254200048)】；

语种：英文

外文关键词：genetic algorithm; hill-climbing search; global optimization

摘要：In this paper, a new hybrid genetic algorithm is proposed, which combines the genetic algorithm with hill-climbing search steps differently from some former algorithms. The new algorithm can be widely applied to a class of global optimization problems for continuous functions with box constraints. Finally, numerical examples show that this algorithm can yield the global optimum with high efficiency. (C) 2007 Elsevier Inc. All rights reserved.