Zoubair Taidi

Papers

Total Citations

H-Index

About

Zoubair Taidi is a researcher in combinatorial optimisation and swarm intelligence, with a focused interest in developing nature-inspired algorithms for NP-hard problems. His most notable contribution is the introduction of a fireworks algorithm (FW) for solving the travelling salesman problem (TSP), a classic and computationally challenging optimisation task. By drawing inspiration from the explosive patterns of fireworks, Taidi designed a novel swarm intelligence approach that balances exploration and exploitation to efficiently navigate complex solution spaces. This work, published in 2017, has garnered a total of 15 citations, reflecting its relevance in the optimisation community. Taidi’s research addresses the fundamental challenge of making hard problems more tractable, offering a fresh perspective on metaheuristic design. His contributions are particularly valuable for students and researchers interested in bio-inspired computing, combinatorial optimisation, and the practical application of swarm algorithms to real-world logistics and routing challenges.