Kontaktujte nás | Jazyk: čeština English
Název: | Distance based parameter adaptation for differential evolution |
Autor: | Viktorin, Adam; Šenkeřík, Roman; Pluháček, Michal; Kadavý, Tomáš; Zamuda, Aleš |
Typ dokumentu: | Článek ve sborníku (English) |
Zdrojový dok.: | 2017 IEEE Symposium Series on Computational Intelligence (SSCI). 2017, vol. 2018-January, p. 1-7 |
ISBN: | 978-1-5386-2725-9 |
DOI: | https://doi.org/10.1109/SSCI.2017.8280959 |
Abstrakt: | This paper proposes a simple, yet effective, modification to scaling factor and crossover rate adaptation in Success-History based Adaptive Differential Evolution (SHADE), which can be used as a framework to all SHADE-based algorithms. The performance impact of the proposed method is shown on the CEC2015 benchmark set in 10 and 30 dimensions for both SHADE and L-SHADE (SHADE with linear decrease of population size) algorithms. |
Plný text: | https://ieeexplore.ieee.org/abstract/document/8280959/ |
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