GA-based Container Terminal Stockpile Block Plan Optimization and Simulation

In the stockpile schedule, a reasonable block allocation plan was a good foundation for the bay allocation plans, location choices for coming containers, containers turning schedule, and the shipments. This paper has built a mathematical model for block allocation plan of outward containers. The model tried to minimize the distance between the ship and the storage blocks, and avoid shipments for multiple ships in the same block, under the condition that the number of allocated blocks equals the result of each port´s experiential formula. The genetic algorithm was used to solve this problem. The encoding used binary encoding. The length of the chromosome was the total number of blocks in the yard. Each gene in the chromosome was expressed for the each block. The value of ´I´ meant that the corresponding block was allocated; ´0´ meant that the corresponding block wasn´t allocated for the ship. By verifying, the model and the algorithm had good performance.