Multi-objective Optimization Of Container Ship Stowage Considering Quay Crane Operation

Container transportation is an important organization form of cargo transportation at home and abroad,which plays an important role in promoting regional economic development and serving the new development pattern of domestic and international double circulation.Effective stowage decision is the key to safeguard the interests of both sides,and is directly related to ship transportation economy and navigation safety.In order to shorten the operation time of container ships in port and improve the efficiency of loading and unloading,on the one hand,the number of blocking boxes should be reduced in stowage.On the other hand,it is necessary to increase the efficiency of quayside crane operation.At the same time,good stability and buoyancy can ensure the safety and seaworthiness of the ship at the same time,fuel saving and emission reduction.Based on the above preferences of stowing decisions,an integer programming model for multi-objective optimization of container stowing is established to minimize the number of stack occupancy and the number of blocking boxes,and to adjust the stability of container ships by optimizing the stability height,roll Angle and trim values.Then,the uneven measurement of quay crane operation was taken into account in the objective function,aiming to further improve the operation efficiency of port quay crane equipment,and the multi-objective optimization model of container ship stowage considering quay crane operation balance was obtained.In order to avoid falling into local optimization when dealing with multi-objective problems of more than three dimensions,NSGA-Ⅲ algorithm is adopted to solve the problem.In order to ensure the effect of multi-objective parallel optimization,NSGA-Ⅲ algorithm was improved by grey entropy parallel analysis method,and the grey entropy parallel correlation degree was used as fitness value to guide the algorithm for elite selection.The experimental results show that the improved algorithm is better than the algorithm using the general selection strategy in solving performance,and has good robustness to the example parameter setting,which can provide some decision support for the actual formulation of container ship stowage plan.