关键词: 轴辐式海运网络, 吸引力模型, 遗传算法

Abstract:

For the optimization of the hub-and-spoke container shipping network, in order to quantitatively express the impact of customer attraction on the container freight volume, the customer attractiveness factor based on service constraints（service quality\price\time） is introduced, and the shipping companies in the shipping network are the most profitable. As a goal, an axis-spoke marine network optimization model is established. The model has been solved by genetic algorithm. The validity of the model and algorithm is proved by a case study. The effects of different economies of scale discount rate and shipper’s decision preference weight on the profit of shipping companies are analyzed.

Key words: hub-and-spoke maritime network, attraction model, genetic algorithm