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Title: | Distance vs. Improvement based parameter adaptation in SHADE |
Author: | Viktorin, Adam; Šenkeřík, Roman; Pluháček, Michal; Kadavý, Tomáš |
Document type: | Conference paper (English) |
Source document: | Advances in Intelligent Systems and Computing. 2019, vol. 764, p. 455-464 |
ISSN: | 2194-5357 (Sherpa/RoMEO, JCR) |
ISBN: | 978-3-319-91188-5 |
DOI: | https://doi.org/10.1007/978-3-319-91189-2_45 |
Abstract: | This work studied a relationship between optimization qualities of Success-History based Adaptive Differential Evolution algorithm (SHADE) and its self-adaptive parameter strategy. Original SHADE with improvement based adaptation is compared to the SHADE with Distance based parameter adaptation (Db_SHADE) on the basis of the CEC2015 benchmark set for continuous optimization and a novel approach combining both distance and improvement adaptation (DIb_SHADE) is presented and tested as a trade-off between both approaches. © 2019, Springer International Publishing AG, part of Springer Nature. |
Full text: | https://link.springer.com/chapter/10.1007/978-3-319-91189-2_45 |
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