Jalel Euchi is a faculty member at the Department of Management Information Systems, CBE, Qassim University, KSA. He received his PhD in Computer Science, in the field of Optimization and Transportation Problems from the Sfax University in Tunisia and LeHavre University in France, in 2011. He is an Associate Researcher in the OLID Laboratory, Sfax University, Tunisia, also in Laboratoire de Mathématiques Appliquées du Havre (LMAH), LeHavre University, France. He has published extensively in reputed journals like International Journal of Operational Research, Swarm and Evolutionary Computation, Management Decision, and Journal of Operational Research Society and Vehicular Communications. He is a referee of many journals published by Springer and Elsevier publishers. He is a life member of the Operational Research Society of Tunisia. His primary research interests include complex vehicle routing problems, heuristics and meta-heuristics algorithms to solve the NP-Hard problems, computational operations research, decision making, and logistics research and supply chains
Jalel Euchi is a faculty member at the Department of Management Information Systems, CBE, Qassim University, KSA. He received his PhD in Computer Science, in the field of Optimization and Transportation Problems from the Sfax University in Tunisia and LeHavre University in France, in 2011. He is an Associate Researcher in the OLID Laboratory, Sfax University, Tunisia, also in Laboratoire de Mathématiques Appliquées du Havre (LMAH), LeHavre University, France. He has published extensively in reputed journals like International Journal of Operational Research, Swarm and Evolutionary Computation, Management Decision, and Journal of Operational Research Society and Vehicular Communications. He is a referee of many journals published by Springer and Elsevier publishers. He is a life member of the Operational Research Society of Tunisia. His primary research interests include complex vehicle routing problems, heuristics and meta-heuristics algorithms to solve the NP-Hard problems, computational operations research, decision making, and logistics research and supply chains