A Hybrid Intelligent Algorithm for Vehicle Pick-up and Delivery Problem with Time Windows

In this paper a hybrid intelligent algorithm is presented to solve the pick-up and delivery problem with time windows (PDPTW), which combines cluster algorithm, genetic algorithm and tabu search. At first, the multi-vehicle PDPTW problem is transformed into several single-vehicle PDPTW problems by using clustering algorithm, then initial solution for tabu search is constructed by arranging the best solutions of single-vehicle PDPTW problems which obtained by using genetic algorithm, at last the optimal solution is obtained by performing tabu search. In addition, a gradually increase strategy of the number of cluster from the minimal feasible number is proposed, to guarantee the minimization of fleet. The computational results demonstrate the effectiveness of the proposed method to solve the PDPTW problem.