Abstract
The immune algorithm is an intelligential and heuristic algorithm which imitates high-evolvement of the organism and complicated immune system. Vehicle scheduling problem (VSP) with soft time windows is a variation of vehicle scheduling problem in logistics distribution, which is a typical NP-hard problem. The paper describes an improved immune optimization algorithm to solve the VSP, in which a new coding method, the adaptive mechanism of crossover and mutation, and evaluate function are introduced. Simulation results on a VSP problems show that the algorithm is efficient to solve the VSP problem.
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