Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots

The control of wheeled mobile robots plays a crucial role in many fields, including automation, logistics, security, and even space exploration. This paper presents a significant improvement in the control of wheeled mobile robots based on an enhanced version of the Puma optimization algorithm by in...

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Published in:Engineering science and technology, an international journal Vol. 63; p. 101982
Main Authors: Kmich, Mohamed, Ghouate, Nawal El, Bencharqui, Ahmed, Karmouni, Hicham, Sayyouri, Mhamed, Askar, S.S., Abouhawwash, Mohamed
Format: Journal Article
Language:English
Published: Elsevier B.V 01.03.2025
Elsevier
Subjects:
Chaotic maps
Optimization engineering problems
Puma optimizer algorithm
Wheeled mobile robot
Optimization engineering problems
Puma optimizer algorithm
Wheeled mobile robot
Chaotic maps
ISSN:2215-0986, 2215-0986
Online Access:Get full text
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Abstract The control of wheeled mobile robots plays a crucial role in many fields, including automation, logistics, security, and even space exploration. This paper presents a significant improvement in the control of wheeled mobile robots based on an enhanced version of the Puma optimization algorithm by integrating chaotic maps in both optimization phases, exploration and exploitation. The Chaotic Puma Optimizer Algorithm (CPOA) has been tested and proven effective on CEC’2022 benchmarks and three complex engineering problems. It has outperformed standard and improved metaheuristic algorithms in controlling nonlinear and time-varying wheeled mobile robots. The results show a notable improvement in terms of response time and stability, thus expanding the potential applications of this optimizer in various fields of engineering and robotics.
AbstractList The control of wheeled mobile robots plays a crucial role in many fields, including automation, logistics, security, and even space exploration. This paper presents a significant improvement in the control of wheeled mobile robots based on an enhanced version of the Puma optimization algorithm by integrating chaotic maps in both optimization phases, exploration and exploitation. The Chaotic Puma Optimizer Algorithm (CPOA) has been tested and proven effective on CEC’2022 benchmarks and three complex engineering problems. It has outperformed standard and improved metaheuristic algorithms in controlling nonlinear and time-varying wheeled mobile robots. The results show a notable improvement in terms of response time and stability, thus expanding the potential applications of this optimizer in various fields of engineering and robotics.
ArticleNumber 101982
Author Kmich, Mohamed
Abouhawwash, Mohamed
Askar, S.S.
Bencharqui, Ahmed
Ghouate, Nawal El
Karmouni, Hicham
Sayyouri, Mhamed
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Keywords Optimization engineering problems
Puma optimizer algorithm
Wheeled mobile robot
Chaotic maps
Language English
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Snippet The control of wheeled mobile robots plays a crucial role in many fields, including automation, logistics, security, and even space exploration. This paper...
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SubjectTerms Chaotic maps
Optimization engineering problems
Puma optimizer algorithm
Wheeled mobile robot
Title Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots
URI https://dx.doi.org/10.1016/j.jestch.2025.101982
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