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Abstract ▼ AI-Helper

This paper proposes a multi-objective co-operative co-evolutionary algorithm for planning remarshaling in an automated container terminal. Remarshaling refers to a preparatory job of rearranging containers in a stacking yard in order to maximize the efficiency of operations in the yard during the id...

This paper proposes a multi-objective co-operative co-evolutionary algorithm for planning remarshaling in an automated container terminal. Remarshaling refers to a preparatory job of rearranging containers in a stacking yard in order to maximize the efficiency of operations in the yard during the idle time of the cranes. In this paper, we divide the problem of planning remarshaling into the sub-problems of deciding the target locations of main jobs, the temporarily locations of auxiliary jobs, and the working schedules of cranes. A co-evolutionary approach is used to evolve the partial solutions for the sub-problems simultaneously, and a multi-objective evolutionary approach is also adopted because the problem has three conflicting objectives of seaside and landside service levels and remarshaling duration. The experimental results in a simulation system showed that the proposed approach provided various selectable remarshaling plans in terms of the service levels and the remarshaling time.

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