Application of Lion Swarm Optimization in Berth Allocation Problem

The construction of an intelligent port can promote the development of intelligent shipping. Berth resources are scarce resources in ports and terminals. For incoming ships, reasonable allocation of berth resources can shorten the ship's port time, speed up the overall operational efficiency of the terminal, and enhance the comprehensive competitiveness of the port. At present, the allocation of berth resources mostly relies on the experience of the port center dispatchers, and there will inevitably that there will be phenomena such as waiting for available berths, waiting for ships, and ship scheduling errors and conflicts. Aiming at the problem of the low efficiency of berth scheduling at the terminal, an optimization model of berth allocation was established. To minimize the total ship in port time, the multi-objective Lion Swarm Optimization algorithm was used to solve the model. Taking the berth allocation problem of a bulk cargo port as an example, the total time of ships in the port after the algorithm optimization is greatly shortened, and a relatively better scheduling plan can be given. A satisfactory application effect can be obtained in the optimization of the ship scheduling, and it can provide the optimization of port berth allocation a new method.