Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55528
Title: Differential evolution with adaptive population size
Authors: Shi, EC
Leung, FHF 
Law, BNF 
Issue Date: 2014
Source: 2014 19th International Conference on Digital Signal Processing : Hong Kong, 20-23 August 2014, 6900794, p. 876-881
Abstract: Differential Evolution (DE) is one of the evolutionary algorithms under active research. It has been successfully applied to many real-world problems. The performance of DE highly depends on the population size Np. An improper selection of Np may result in premature convergence or waste of computational resources. In this paper, we proposed a novel method to adaptively control the population size of DE. With this method users do not need to set the Np parameter for DE. The proposed algorithm DEAPS is compared with the conventional DE with different population sizes. DEAPS demonstrates encouraging results on its capability of adaption for seven problems of benchmark test functions.
Keywords: Differential evolution
Population size adaptation
Publisher: Institute of Electrical and Electronics Engineers Inc.
ISBN: 9781479946129
DOI: 10.1109/ICDSP.2014.6900794
Appears in Collections:Conference Paper

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