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

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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

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,

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.

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