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An enhanced differential evolution algorithm with adaptation of switching crossover strategy for continuous optimization Cover

An enhanced differential evolution algorithm with adaptation of switching crossover strategy for continuous optimization

Foundations of Computing and Decision Sciences
Volume 45 (2020): Issue 2 (June 2020)
By: Pikul Puphasuk and  Jeerayut Wetweerapong  
Open Access
|Jun 2020
Authors

Authors

Pikul Puphasuk

ppikul@kku.ac.th

Deparment of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand

Jeerayut Wetweerapong

wjeera@kku.ac.th

Deparment of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
DOI: https://doi.org/10.2478/fcds-2020-0007 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
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Language: English
Page range: 97 - 124
Submitted on: Feb 7, 2020
Accepted on: May 16, 2020
Published on: Jun 29, 2020
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Continuous optimization,
enhanced differential evolution algorithm,
control parameter adaptation,
switching crossover strategy
Related subjects:
Computer sciences,
Artificial intelligence,
Software development

© 2020 Pikul Puphasuk, Jeerayut Wetweerapong, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 45 (2020): Issue 2 (June 2020)
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