Aiming to the requirements to find the shortest path among distribution nodes in logistics activities to guide logistics vehicle scheduling, this paper provides a new method which combines genetic algorithm and BP algorithm for vehicle path planning to achieve the goal of saving transporting cost. In this paper, the genetic algorithm is improved, and the shortcomings of the genetic algorithm, such as poor local search capability, easy to be early-maturing and not good enough global feasible solution, are co...
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