Abstract
The differential evolution algorithm using competitive adaptation was compared experimentally with the state-of-the-art adaptive versions of differential evolution on CEC2005 benchmark functions. The results of experiments show that the performance of the algorithm with competitive adaptation is comparable with the state-of-the-art algorithms, outperformed only by CoDE and JADE algorithms in this test. A modification of competitive differential evolution preferring successful strategy for a longer period of search was also investigated. Such modification brings no improvement and the standard setting of the competition recommended in previous papers is suitable for applications.
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Poláková, R., Tvrdík, J. (2013). Competitive Differential Evolution Algorithm in Comparison with Other Adaptive Variants. In: Snášel, V., Abraham, A., Corchado, E. (eds) Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32922-7_14
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DOI: https://doi.org/10.1007/978-3-642-32922-7_14
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