Ahmed Bencharqui

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About

Dr. Ahmed Bencharqui is a leading figure in the development of nature-inspired metaheuristic algorithms and their application to advanced robotic control systems. His primary research focuses on computational intelligence, optimization theory, and autonomous mobile robotics. Dr. Bencharqui’s most impactful contribution is the creation of the Chaotic Puma Optimizer Algorithm (CPOA), a novel enhancement of the standard Puma optimizer that integrates chaotic dynamics to dramatically improve global search capabilities and convergence speed. His seminal 2025 paper on this algorithm, which has already garnered 12 citations, demonstrates its superior performance in precisely controlling wheeled mobile robots—a critical challenge for fields ranging from industrial automation and logistics to security and space exploration. This work not only advances the theoretical foundations of swarm intelligence but also provides a powerful, practical tool for real-world autonomous navigation. Dr. Bencharqui’s research is at the cutting edge of bridging algorithmic innovation with tangible robotic applications, establishing him as a key innovator in modern control engineering.