Crossover Particle Swarm Optimization for Vehicle Routing Problem with Time Windows

摘要

Particle swarm optimization is introduced to deal with the vehicle routing problem with time windows (VRPTW). According to the model of VRPTW and the traits of particle swarm optimization, the crossover particle swarm optimization by combining the ideal of the genetic algorithm is set up. Experimental results indicate that the crossover particle swarm optimization can get optimal resolution of VRPTW effectively and quickly.