Youssef El Mourabit

About

Youssef El Mourabit is a researcher whose work sits at the intersection of algorithmic optimization and artificial intelligence, with a particular focus on pathfinding and heuristic search. His most cited contribution, "A Hybrid Approach of Dijkstra’s Algorithm and A* Search, with an Optional Adaptive Threshold Heuristic" (2023, 9 citations), introduces a novel framework that dynamically balances the computational efficiency of Dijkstra’s algorithm with the goal-directed speed of A* search. By incorporating an adaptive threshold heuristic, El Mourabit’s method allows for real-time tuning between optimality and performance—a critical advance for applications in robotics, navigation systems, and game AI. This work has been recognized for its practical utility in environments where computational resources are constrained or where path quality must be traded off against response time. Though early in his career, El Mourabit’s hybrid approach has already garnered attention for its elegance and versatility, marking him as a promising voice in the ongoing effort to make classical algorithms more responsive to modern, real-world demands.

Research Focus

Key Achievements

Top Papers

1. 1
   A Hybrid Approach of Dijkstra’s Algorithm and A* Search, with an Optional Adaptive Threshold Heuristic

   9 citations · 2023

Key Collaborators

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