Enhanced archive for SHADE

Viktorin, Adam; Šenkeřík, Roman; Pluháček, Michal; Kadavý, Tomáš

Title:	Enhanced archive for 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. 837, p. 40-55
ISSN:	2194-5357 (Sherpa/RoMEO, JCR)

ISBN:	978-3-319-97887-1
DOI:	https://doi.org/10.1007/978-3-319-97888-8_4
Abstract:	This research paper analyses an external archive of inferior solutions used in Success-History based Adaptive Differential Evolution (SHADE) and its variant with a linear decrease in population size L-SHADE. A novel implementation of an archive is proposed and compared to the original one on CEC2015 benchmark set of test functions for two distinctive dimensionality settings. The proposed archive implementation is referred to as Enhanced Archive (EA) and therefore two Differential Evolution (DE) variants are titled EA-SHADE and EA-L-SHADE. The results on CEC2015 benchmark set are analyzed and discussed. © Springer Nature Switzerland AG 2019.
Full text:	https://link.springer.com/chapter/10.1007/978-3-319-97888-8_4
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Citace článku v konferenčním sborníku:
VIKTORIN, Adam, Roman ŠENKEŘÍK, Michal PLUHÁČEK a Tomáš KADAVÝ. Enhanced archive for SHADE. In: Advances in Intelligent Systems and Computing [online]. Brno: Springer Verlag, 2019, s. 40-55. [cit. 2024-04-16]. ISSN 2194-5357. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-97888-8_4.

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