The invention discloses a container terminal container
truck scheduling optimization method oriented to multi-stage multi-equipment
collaboration. The method comprises the steps that S1, a multi-stage multi-equipment
collaboration container
truck scheduling optimization model with the minimum ship
completion time and the maximum advance time of a ship as the optimization target is established; s2, designing a dynamic task chain coding method; s3, developing an efficient multi-device collaborative multi-task scheduling schedule generation
algorithm for a decoding process; s4, designing selection,
crossover and
mutation operators of the
genetic algorithm; and S5, executing a
genetic algorithm, optimizing task allocation, and finally determining an
optimal scheduling scheme. According to the method, the technical problem that efficient allocation of
quay crane, container trucks and field crane tasks is realized by constructing a container
truck scheduling mathematical planning model and combining a
genetic algorithm is solved. According to the method, the scheduling scheme is gradually optimized through multiple iterations and algorithms, the optimal solution is finally generated, tasks are reasonably distributed, the operation sequence is optimized, and the equipment
waiting time and operation
delay are reduced.