Souhail Dhouib
Papers
13
Total Citations
98
H-Index
6
About
Souhail Dhouib is a prolific researcher in combinatorial optimization, metaheuristics, and robotics, best known for developing the Dhouib-Matrix family of algorithms. His major contributions include the Dhouib-Matrix-SPP (DM-SPP) method, which solves the Shortest Path Problem with an optimal O(n+m) time complexity—faster than classical Dijkstra and A* approaches. He has applied these techniques to autonomous mobile robot path planning, printed circuit board (PCB) hole drilling optimization, and wireless sensor network coverage repair. His work on the Far-to-Near metaheuristic and Dhouib-Matrix-3/4 techniques has significantly reduced non-productive time in robotic arm drilling operations, improving industrial efficiency. With over 90 citations across his top papers, Dhouib’s methods have demonstrated practical impact in both theoretical optimization and real-world automation. Notable achievements include the DM-SPP-24 method for enriched movement directions in trajectory planning and the DM-SPP-4 algorithm, which outperforms traditional methods in mobile robot path planning. His research continues to push the boundaries of rapid, optimal pathfinding for autonomous systems.
Research Focus
Key Achievements
Top Papers
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