In order to further improve the operation efficiency of container terminals and reduce the stay time of ships in ports,the quay crane equipment in charge of loading and unloading at the front of terminals is included in the consideration of container ship stowage decision,and the operation efficiency of ships in a port is guaranteed by reducing the unbalance of quay crane operation at various ports in the route.Considering the requirements of ship transportation safety,economy and seaworthiness,a multi-objective optimization model of container ship stowage is constructed with the objectives of the quay crane operation unbalance,the number of ship blocking containers,the metacentric height,the heel angle and the trim value.In order to solve the multi-objective optimization problem effectively,the gray entropy parallel analysis method is used to improve the non-dominated sorting genetic algorithm Ⅲ(NSGA-Ⅲ).The experimental results show that the improved algorithm is better than the general algorithm with elitist selection strategy in solving performance,and has good robustness to the change of example parameter setting,which can provide a certain decision support for the formulation of container ship stowage plan with operation balance of quay cranes.
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