Research on Decision-making Optimization of Container MBPP Based on Evolutionary Strategy Algorithm

As an important part of the vessel stowage planning, the Master Bay Plan Problem (MBPP) can effectively reduce the container's reverse operation and ship stay time, improve the transportation efficiency of container ships and the safety of the entire route if it rationally formulated. The essay established a mathematical model of container loading sequence with the target of minimizing the number of ship containers. The evolution strategy algorithm (ES) is used to optimize the container MBPP, and the two-dimensional real number coding method is designed. The two-point crossover interchange recombination and mutation method is used to analyze ES through different parent and child scales and multiple scale examples. Finally, the ES is compared with the commonly used optimization algorithm PSO and the heuristic algorithm based on the actual shipping problem. The results show that ES can find the optimal solution more quickly, and the optimization efficiency is higher than PSO and the heuristic algorithm of the actual ship loading problem. This consequence verified the validity of the model and algorithm.