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Adaptive differential evolution algorithm with a pheromone-based learning strategy for global continuous optimization Cover

Adaptive differential evolution algorithm with a pheromone-based learning strategy for global continuous optimization

Foundations of Computing and Decision Sciences
Volume 48 (2023): Issue 2 (June 2023)
By: Pirapong Singsathid,  Pikul Puphasuk and  Jeerayut Wetweerapong  
Open Access
|Jun 2023
Authors

Authors

Pirapong Singsathid

pirapongs@kkumail.com

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

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-2023-0010 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
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Language: English
Page range: 243 - 266
Submitted on: Mar 8, 2022
Accepted on: Dec 15, 2022
Published on: Jun 30, 2023
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Differential evolution algorithm,
ant colony optimization,
pheromone strategy,
optimization
Related subjects:
Computer sciences,
Artificial intelligence,
Software development

© 2023 Pirapong Singsathid, Pikul Puphasuk, Jeerayut Wetweerapong, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 48 (2023): Issue 2 (June 2023)
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