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Due to the rapid increase of air cargo and postal transport volume, anefficient automated multi-dimensional warehouse with elevating transfervehicles (ETVs) should be established and an effective scheduling strategyshould be designed for improving the cargo handling efficiency. In this paper,artificial bee colony algorithm, which possesses strong global optimizationability and fewer parameters, is firstly introduced to simultaneously optimizethe route of ETV and the assignment of entrances and exits. Moreover, forfurther improve the optimization performance of ABC, novel full-dimensionalsearch strategy with parallelization, and random multi-dimensional searchstrategy are incorporated in the framework of ABC to improve the diversity ofthe population and the convergence speed respectively. Our proposed algorithmsare evaluated on several benchmark functions, and then applied to solve thecombinatorial optimization problem with multitask, multiple entrances and exitsin air cargo terminal. The simulations show that the proposed algorithms canachieve much more desired performance than the traditional artificial beecolony algorithm at balancing the exploitation and exploration abilities.

Improved Multi-Dimensional Bee Colony Algorithm for Airport Freight Station Scheduling