The Walking Palm Tree algorithm: A new Metaheuristic Algorithm for Solving Optimization Problems

Farouq Zitouni; Saad Harous; Seyedali Mirjalili; Abdelhai Mohamed Bouaicha; Hocine Abdellatif Houari; Ali Wagdy Mohamed; Abdelhadi Limane; Rihab Lakbichi; Aridj Ferhat

doi:10.2991/978-94-6463-496-9_3

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The Walking Palm Tree algorithm: A new Metaheuristic Algorithm for Solving Optimization Problems

Authors

Farouq Zitouni¹^{, *}, Saad Harous², Seyedali Mirjalili³, Abdelhai Mohamed Bouaicha¹, Hocine Abdellatif Houari¹, Ali Wagdy Mohamed⁴, Abdelhadi Limane¹, Rihab Lakbichi¹, Aridj Ferhat¹

¹Department of Computer Science and Information Technologies, Kasdi Merbah University, Ouargla, Algeria

²College of Computing and Informatics, Department of Computer Science, University of Sharjah, Sharjah, United Arab Emirates

³Centre for Artificial Intelligence Research and Optimization, Torrens University, Adelaide, Australia

⁴Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt

^*Corresponding author. Email: zitouni.farouq@univ-ouargla.dz

Corresponding Author

Farouq Zitouni

Available Online 31 August 2024.

DOI: 10.2991/978-94-6463-496-9_3 How to use a DOI?
Keywords: Global Optimization; Metaheuristics; Nature-Inspired Optimizers; Walking Palm Trees; Unconstrained Optimization Problems
Abstract: We introduce the Walking Palm Tree (WPT) optimizer, a novel metaheuristic optimization algorithm inspired by the movement pattern of the Socratea Exorrhiza palm tree species. This species adapts to sunlight by growing roots towards the desired direction while allowing older roots to fade away. We provide a detailed mathematical framework for the algorithm and demonstrate its effectiveness across a diverse range of search problems. By conducting experiments on 31 benchmark test functions, which encompass various characteristics such as unimodal, multimodal, hybrid, and composite functions, we validate the efficacy of WPT. Our statistical analyses, including Friedman ranking and Wilcoxon signed-rank tests, further confirm the competitiveness of WPT in tackling complex optimization challenges compared to established algorithms.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Emerging Intelligent Systems for Sustainable Development (ICEIS 2024)
Series: Advances in Intelligent Systems Research
Publication Date: 31 August 2024
ISBN: 978-94-6463-496-9
ISSN: 1951-6851
DOI: 10.2991/978-94-6463-496-9_3 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Farouq Zitouni
AU  - Saad Harous
AU  - Seyedali Mirjalili
AU  - Abdelhai Mohamed Bouaicha
AU  - Hocine Abdellatif Houari
AU  - Ali Wagdy Mohamed
AU  - Abdelhadi Limane
AU  - Rihab Lakbichi
AU  - Aridj Ferhat
PY  - 2024
DA  - 2024/08/31
TI  - The Walking Palm Tree algorithm: A new Metaheuristic Algorithm for Solving Optimization Problems
BT  - Proceedings of the International Conference on Emerging Intelligent Systems for Sustainable Development (ICEIS 2024)
PB  - Atlantis Press
SP  - 19
EP  - 36
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-496-9_3
DO  - 10.2991/978-94-6463-496-9_3
ID  - Zitouni2024
ER  -

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