Clustering Analysis of the Population in Db_SHADE Algorithm
Loading...
Date
2018-06-01
Authors
Viktorin, Adam
Senkerik, Roman
Pluhacek, Michal
Kadavy, Tomas
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Automation and Computer Science, Brno University of Technology
Altmetrics
Abstract
This paper provides an analysis of the population clustering in a novel Success-History based Adaptive Differential Evolution algorithm with Distance based adaptation (Db_SHADE) in order to analyze the exploration and exploitation abilities of the algorithm. The comparison with the original SHADE algorithm is performed on the CEC2015 benchmark set in two dimensional settings (10D and 30D). The clustering analysis helps to answer the question about prolonged exploration phase of the Db_SHADE algorithm. Possible future research directions are drawn in the discussion and conclusion.
Description
Citation
Mendel. 2018 vol. 24, č. 1, s. 9-16. ISSN 1803-3814
https://mendel-journal.org/index.php/mendel/article/view/13
https://mendel-journal.org/index.php/mendel/article/view/13
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en