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A hybrid genetic algorithm for a class of global optimization problems with box constraints
- Source :
-
Applied Mathematics & Computation . Apr2008, Vol. 197 Issue 2, p924-929. 6p. - Publication Year :
- 2008
-
Abstract
- 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. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00963003
- Volume :
- 197
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Applied Mathematics & Computation
- Publication Type :
- Academic Journal
- Accession number :
- 30609086
- Full Text :
- https://doi.org/10.1016/j.amc.2007.08.081