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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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Engineering Science and Technology, an International Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098625000370 |
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| author | Mohamed Kmich Nawal El Ghouate Ahmed Bencharqui Hicham Karmouni Mhamed Sayyouri S.S. Askar Mohamed Abouhawwash |
| author_facet | Mohamed Kmich Nawal El Ghouate Ahmed Bencharqui Hicham Karmouni Mhamed Sayyouri S.S. Askar Mohamed Abouhawwash |
| author_sort | Mohamed Kmich |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3bfb0d08bc364d1b90cf6e1d190ede7f |
| institution | Kabale University |
| issn | 2215-0986 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering Science and Technology, an International Journal |
| spelling | doaj-art-3bfb0d08bc364d1b90cf6e1d190ede7f2025-02-03T04:16:44ZengElsevierEngineering Science and Technology, an International Journal2215-09862025-03-0163101982Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robotsMohamed Kmich0Nawal El Ghouate1Ahmed Bencharqui2Hicham Karmouni3Mhamed Sayyouri4S.S. Askar5Mohamed Abouhawwash6Laboratory of Engineering, Systems, and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, MoroccoLaboratory of Engineering, Systems, and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, MoroccoLaboratory of Engineering, Systems, and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, MoroccoNational School of Applied Sciences, Cadi Ayyad University, Marrakech, Morocco; Corresponding author.Laboratory of Engineering, Systems, and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, MoroccoDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi ArabiaDepartment of of Animal Science, Michigan State University, East Lansing, MI 48824, USA; Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, EgyptThe 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.http://www.sciencedirect.com/science/article/pii/S2215098625000370Chaotic mapsOptimization engineering problemsPuma optimizer algorithmWheeled mobile robot |
| spellingShingle | Mohamed Kmich Nawal El Ghouate Ahmed Bencharqui Hicham Karmouni Mhamed Sayyouri S.S. Askar Mohamed Abouhawwash Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots Engineering Science and Technology, an International Journal Chaotic maps Optimization engineering problems Puma optimizer algorithm Wheeled mobile robot |
| title | Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots |
| title_full | Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots |
| title_fullStr | Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots |
| title_full_unstemmed | Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots |
| title_short | Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots |
| title_sort | chaotic puma optimizer algorithm for controlling wheeled mobile robots |
| topic | Chaotic maps Optimization engineering problems Puma optimizer algorithm Wheeled mobile robot |
| url | http://www.sciencedirect.com/science/article/pii/S2215098625000370 |
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