Abstract
Possible improvement of a successful adaptive SHADE variant of differential evolution is addressed. Exploitation of exponential crossover was applied in two newly proposed SHADE variants. The algorithms were compared experimentally on CEC 2013 test suite used as a benchmark. The results show that the variant using adaptive strategy of the competition of two types of crossover is significantly more efficient than other SHADE variants in 7 out of 28 problems and not worse in the others. Thus, this SHADE with competing crossovers can be considered superior to original SHADE algorithm.
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Bujok, P., Tvrdík, J. (2015). Adaptive Differential Evolution: SHADE with Competing Crossover Strategies. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9119. Springer, Cham. https://doi.org/10.1007/978-3-319-19324-3_30
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DOI: https://doi.org/10.1007/978-3-319-19324-3_30
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19323-6
Online ISBN: 978-3-319-19324-3
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