Multi-objective Optimization For The Dynamic Multi-Pickup and Delivery   Problem with Time Windows
  The PDPTW is an optimization vehicles routing problem which must meet requests for transport between suppliers and customers satisfying precedence, capacity and time constraints. We present, in this paper, a genetic algorithm for multi-objective optimization of a dynamic multi pickup and delivery problem with time windows (Dynamic m-PDPTW). We propose a brief literature review of the PDPTW, present our approach based on Pareto dominance method and lower bounds, to give a satisfying solution to the Dynamic m-PDPTW minimizing the compromise between total travel cost and total tardiness time. Computational results indicate that the proposed algorithm gives good results with a total tardiness equal to zero with a tolerable cost. 
Imen Harbaoui Dridi (LAGIS, ACS), Ryan Kammarti (ACS), Pierre Borne   (LAGIS), Mekki Ksouri (ACS)
cs.DS