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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| Veröffentlicht in: | Engineering science and technology, an international journal Jg. 63; S. 101982 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
01.03.2025
Elsevier |
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| ISSN: | 2215-0986, 2215-0986 |
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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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: Mohamed surname: Kmich fullname: Kmich, Mohamed email: mohamed.kmich@usmba.ac.ma organization: Laboratory of Engineering, Systems, and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco – sequence: 2 givenname: Nawal El surname: Ghouate fullname: Ghouate, Nawal El email: nawal.elghouate@usmba.ac.ma organization: Laboratory of Engineering, Systems, and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco – sequence: 3 givenname: Ahmed surname: Bencharqui fullname: Bencharqui, Ahmed email: ahmed.bencharqui@usmba.ac.ma organization: Laboratory of Engineering, Systems, and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco – sequence: 4 givenname: Hicham orcidid: 0000-0001-9225-8380 surname: Karmouni fullname: Karmouni, Hicham email: h.karmouni@uca.ac.ma organization: National School of Applied Sciences, Cadi Ayyad University, Marrakech, Morocco – sequence: 5 givenname: Mhamed orcidid: 0000-0002-1615-419X surname: Sayyouri fullname: Sayyouri, Mhamed email: mhamed.sayyouri@usmba.ac.ma organization: Laboratory of Engineering, Systems, and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco – sequence: 6 givenname: S.S. surname: Askar fullname: Askar, S.S. email: saskar@ksu.edu.sa organization: Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia – sequence: 7 givenname: Mohamed orcidid: 0000-0003-2846-4707 surname: Abouhawwash fullname: Abouhawwash, Mohamed email: abouhaww@msu.edu organization: Department of of Animal Science, Michigan State University, East Lansing, MI 48824, USA |
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| Keywords | Optimization engineering problems Puma optimizer algorithm Wheeled mobile robot Chaotic maps |
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| Title | Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots |
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