Towards better population sizing for differential evolution through active population analysis with complex network

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

Title:	Towards better population sizing for differential evolution through active population analysis with complex network
Author:	Viktorin, Adam; Šenkeřík, Roman; Pluháček, Michal; Kadavý, Tomáš
Document type:	Conference paper (English)
Source document:	Advances in Intelligent Systems and Computing. 2018, vol. 611, p. 225-235
ISSN:	2194-5357 (Sherpa/RoMEO, JCR)

ISBN:	978-3-319-61565-3
DOI:	https://doi.org/10.1007/978-3-319-61566-0_22
Abstract:	This research paper presents an analysis of the population activity in Differential Evolution algorithm (DE) during the optimization process. A state-of-art DE variant – Success-History based Adaptive DE (SHADE) is used and the population activity is analyzed through Complex Network (CN) created from mutation, crossover and selection steps. The analysis is done on the CEC2015 benchmark set and possible future research directions for the population sizing are suggested. © Springer International Publishing AG 2018.
Full text:	https://link.springer.com/chapter/10.1007/978-3-319-61566-0_22
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Citace článku v konferenčním sborníku:
VIKTORIN, Adam, Roman ŠENKEŘÍK, Michal PLUHÁČEK a Tomáš KADAVÝ. Towards better population sizing for differential evolution through active population analysis with complex network. In: Advances in Intelligent Systems and Computing [online]. Torino: Springer Verlag, 2018, s. 225-235. [cit. 2024-10-10]. ISSN 2194-5357. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-61566-0_22.

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