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An efficient dynamical evolutionary algorithm for global optimization.
- Source :
-
International Journal of Computer Mathematics . Nov2003, Vol. 80 Issue 11, p1429-1436. 8p. 2 Charts, 1 Graph. - Publication Year :
- 2003
-
Abstract
- In this paper, we introduce a new dynamical evolutionary algorithm (DEA) that aims to find the global optimum and give the theoretical explanation from statistical mechanics. The algorithm has been evaluated numerically using a wide set of test functions which are nonlinear, multimodal and multidimensional. The numerical results show that it is possible to obtain global optimum or more accurate solutions than other methods for the investigated hard problems. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00207160
- Volume :
- 80
- Issue :
- 11
- Database :
- Academic Search Index
- Journal :
- International Journal of Computer Mathematics
- Publication Type :
- Academic Journal
- Accession number :
- 11623614
- Full Text :
- https://doi.org/10.1080/0020716031000148485