Simulation And Optimization Of Genetic Algorithm-based Iron Ore Terminal Berth Configuration Methods Applied Research

The ports are required highly with the opening of the port markets. The competition among the ports is more and more drastic. The costs of the transport ships and port equipment are very expensive, and the length of the time of the ships stayed in the ports affects the economy benefit and social benefit, so it is very necessary to make the reasonable and effective scheduling of the port container logistics system in order to improve the operation efficiency of ports, reduce the cost and value and attract more ships in the ports, leading to good economy benefit.Based on the analysis and study the characteristic of the iron ore berth system, we formulate the mathematics model of the berth allocation, whose objective is to minimize the sum of waiting time of the ships stayed in the ports. According to the characteristic of the module, the physical significance of the parameters and correlation of each other, we lead to the constraint qualifications of the berth allocation. The random characteristic and other influence factors of the berth allocation are fully considered in this module, so the actual operation status of the berth allocation can be objectively reflected. An improved genetic algorithm based on integer coding is used in this paper to solve the problem. The paper establishes simulating optimizing model of iron ore berth allocation ,bringing out method of combining simulation and GA to solve the problem. Compared with the existed study, the module in this paper is easier to solve and is more suitable for actual conditions.The paper estashes the simulating model,which is importantly meaningful to the proper berth allocation in the limited sources of iron ore berth,as well as supervising at large to other similar berth.