| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4634640 | Applied Mathematics and Computation | 2008 | 6 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Quan Yuan, Zhiqing He, Huinan Leng,