Empirical Adaptation of Control Parameters in Differential Evolution Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F19%3AA20020UR" target="_blank" >RIV/61988987:17310/19:A20020UR - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-35249-3_14" target="_blank" >http://dx.doi.org/10.1007/978-3-030-35249-3_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-35249-3_14" target="_blank" >10.1007/978-3-030-35249-3_14</a>

Result language
angličtina
Original language name
Empirical Adaptation of Control Parameters in Differential Evolution Algorithm
Original language description
Proper settings of two control parameters in differential evolution (DE) algorithm play a crucial role when solving various optimisation problems. There are a lot of investigated adaptive mechanisms sampling the values of these pa-rameters differently. In the proposed adaptive approach, efficient and inefficient settings of main DE control parameters are considered. A sampling of the control parameters is performed using the performance of parameters’ settings achieved in a preliminary experimental study. The proposed approach is applied to a fre-quently used adaptive jDE algorithm. The statistical analysis of the results pro-vides better information about the efficiency of the proposed technique. More proper settings in the adaptation of DE control parameters provide better performance than a more general approach when solving CEC 2017 problems.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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