Jihane Alami Chentoufi

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About

Jihane Alami Chentoufi is a researcher whose work sits at the intersection of swarm intelligence and combinatorial optimisation. Her primary research focus is on developing novel metaheuristic algorithms to tackle NP-hard problems, with a particular emphasis on the travelling salesman problem (TSP). Her most notable contribution is the introduction of a fireworks algorithm (FW) for solving TSP—a creative approach inspired by the explosive patterns of fireworks. This work, published in 2017, has garnered a combined 15 citations, demonstrating its growing influence in the field of computational intelligence. By adapting the fireworks explosion mechanism to navigate complex solution spaces, Chentoufi has provided a fresh perspective on swarm-based optimisation, offering a promising alternative to traditional methods like genetic algorithms or ant colony optimisation. Her research is particularly valuable for students and practitioners seeking innovative, nature-inspired solutions to real-world routing and logistics challenges. While her citation count is still building, the originality of her approach marks her as a rising contributor to the optimisation community.