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Ship Dispatching System of Bulk Cargo Port Based on Multi-Objective Genetic Algorithm

ABSTRACT Wang, J., 2019. Ship dispatching system of bulk cargo port based on multi-objective genetic algorithm. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 406–410. Coconut Creek (Florida), ISSN 0749-0208. Existing researchers in the field of ship scheduling have focused their research on the optimization of a single target for port ship scheduling. This method may be applicable to container ports with a uniform loading and unloading process, but for a wide variety of cargo types and complex loading and unloading processes. For bulk cargo ports, the single-target model is not fully applicable. This paper will start with analyzing the business characteristics of ship scheduling in bulk cargo ports, and optimize the target, the analysis and quantification of the influencing factors and the model creation according to the actual business characteristics. Combine the advantages of multi-objective optimization and genetic algorithm to solve the model and make up for the present. The ship dispatching optimization method cannot meet the shortage of the complex status of the bulk cargo port, promote and deepen the intersection and penetration of the ship scheduling method and the optimization theory, and play a guiding role in the actual ship dispatching work of the port.