نوع مقاله : علمی - پژوهشی
موضوعات
عنوان مقاله English
نویسندگان English
In this research, by using the genetic algorithm, which is a type of meta heuristic algorithms, the optimal number of wharfs is calculated based on the number of existing ships, the profit from the export and import of iron ore, and the waiting time. The best chromosome of each generation is classified according to the maximum amount of profit obtained during the operation period of the project. In addition to identifying the best number of ships and waiting time, it also identifies the best possible capacity for the project by using the event tree and taking into account the possibilities of tides, market supply and demand, and the impact of the sanction, so that the project can reach to the maximum profit at the time of operation with the least risk. Then, by using the neural network and taking into account the costs of dredging, dike and conveyor belt, the exact location of the dike is determined, so that the cost of construction is reduced to the minimum possible amount.
This research has been carried out as a case study on the construction of a mechanized rail terminal for mineral bulk materials in Shahid Rajaei port and it helps the experts in this field for feasibility and basic studies to identify the most optimal mode as soon as possible in order to Avoid wasting time and resources. In this research, the use of 2 wharfs with a capacity of 16 million tons per year has been identified as the best plan. Also; The best place to build a wharf has been identified at a distance of 350 meters from the end of the land.
کلیدواژهها English
