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The PDPTW is an optimization vehicles routing problem which must meetrequests for transport between suppliers and customers satisfying precedence,capacity and time constraints. We present, in this paper, a genetic algorithmfor multi-objective optimization of a dynamic multi pickup and delivery problemwith time windows (Dynamic m-PDPTW). We propose a brief literature review ofthe PDPTW, present our approach based on Pareto dominance method and lowerbounds, to give a satisfying solution to the Dynamic m-PDPTW minimizing thecompromise between total travel cost and total tardiness time. Computationalresults indicate that the proposed algorithm gives good results with a totaltardiness equal to zero with a tolerable cost.

Multi-objective Optimization For The Dynamic Multi-Pickup and Delivery Problem with Time Windows