A contribution to the resolution of stochastic dynamic dial a ride problem with NSGAII

This paper presents a mathematical model that aims at describing and to resolving the Stochastic DRP with an approach based on the NSGAII. DRP consists in taking the passenger from a place of departure to a place of arrival. The ultimate aim is to offer an alternative to individually and collectively optimized displacements. The DRP is classified as NP-hard problem. That's why, most researches have been concentrated on the use of approximate methods to solve it. Indeed, the DRP is a multi-criteria problem. The proposed solution aims to reduce both route and duration in response to a certain quality of service provided. Actually, during the system of transport on demand (TOD) there are many problems that can inhibit the proper functioning of the system, such as failure of the car and bottling. In this work, we have contributed to the resolution of stochastic DRP in solving possible problems when touring vehicles such as bottling, vehicle failures, accidents and vehicle occupancy service. We have developed an approach which is based on the genetic algorithm kind of the kind NSGAII to optimize travel time and elapsed travel time during the shot, taking into account the possible rate of risk in this selected itinerary.