Laboratoire de Génie Informatique et d’Automatique de l’Artois

Nasreddine OUERTANI

Ph.D. student
Member of the research themes:
Contact information:
2019
International conference with review committee
A Hypermutation Genetic Algorithm for the Dynamic Home Health-Care Routing Problem
International Conference on Industrial Engineering and Systems Management , IESM, pp 1-6, Shangai, China, novembre 2019

Ph.D. topic: "Meta-heuristics approaches for environnement protection and transportation security"

2018

We deal with the problem of Vehicle Routing Problem with time windows in a dynamic environment (DVRPTW). Indeed, we will serve a set of customers using homogeneous vehicles while respecting their maximum load. Each customer has a known demand and geographic location and must be served within a predefined time. Two objectives should be optimized: (1) the total transportation cost and (2) the total travel risk, under dynamic environments. Besides, multiple constraints are to be considered to avoid violating transportation rules. The three major contributions are as follows: first, to model mathematically the problem by considering the possible dynamics in the environment, and with a new risk function. Second, two solutions approaches are proposed: a bi-population genetic algorithm (GA) and a hybrid evolutionary algorithm combining GA and Variable Neighborhood Search (VNS). And finally, to develop a decision support system.