A fast annealing evolutionary algorithm for global optimization
- 24 January 2002
- journal article
- Published by Wiley in Journal of Computational Chemistry
- Vol. 23 (4) , 427-435
- https://doi.org/10.1002/jcc.10029
Abstract
By combining the aspect of population in genetic algorithms (GAs) and the simulated annealing algorithm (SAA), a novel algorithm, called fast annealing evolutionary algorithm (FAEA), is proposed. The algorithm is similar to the annealing evolutionary algorithm (AEA), and a very fast annealing technique is adopted for the annealing procedure. By an application of the algorithm to the optimization of test functions and a comparison of the algorithm with other stochastic optimization methods, it is shown that the algorithm is a highly efficient optimization method. It was also applied in optimization of Lennard–Jones clusters and compared with other methods in this study. The results indicate that the algorithm is a good tool for the energy minimization problem. © 2002 Wiley Periodicals, Inc. J Comput Chem 23: 427–435, 2002; DOI 10.1002/jcc.10029Keywords
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