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.
| Original language | English |
|---|---|
| Article number | 101982 |
| Journal | Engineering Science and Technology, an International Journal |
| Volume | 63 |
| DOIs | |
| State | Published - Mar 2025 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2025 The Author(s)
Keywords
- Chaotic maps
- Optimization engineering problems
- Puma optimizer algorithm
- Wheeled mobile robot
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Civil and Structural Engineering
- Biomaterials
- Mechanical Engineering
- Hardware and Architecture
- Computer Networks and Communications
- Fluid Flow and Transfer Processes
- Metals and Alloys
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