基于進(jìn)化策略算法的港口拖輪調(diào)度優(yōu)化
[Abstract]:Port is a transport hub with land-water transport equipment and conditions to provide safe access and berthing for ships. With the recovery of the global economy, the development of ports is becoming an important link in the rapid development of national economy. At present, the port development of our country is still in the profit idea stage, the profit maximization is still the need of the national strategic development. Therefore, under the premise of profit maximization, how to improve the service and management capacity of the port will become the key to the development of modern port. Tugboat operation is the "first station" in port production. Reasonable tugboat deployment will save port production cost, improve port operation efficiency and provide the most favorable guarantee for the development of port logistics system. In the actual production of tugboat, the optimization of tug scheduling is reflected in how to save production cost and improve the efficiency of tug. However, production cost and production efficiency are two contradictory factors. The same production task, if the tug horsepower is small, the unit time production cost is low, but the tug operation cycle is long, the production efficiency is low. If the tug has high horsepower and high production cost per unit time, the tug has a short working cycle and high production efficiency. Therefore, in the process of tugboat scheduling, we should not simply consider the reverse relationship between production cost and production efficiency, but should try to study the complex relationship between production efficiency and production cost through in-depth study. To reasonably optimize the tug operation, find the best solution. At the same time, in the actual scheduling of tugboat operation, it is considered that the captain of the ship entering and leaving the port is random, and the number and horsepower of the tugboat which provides the service for the off-board ship have corresponding matching requirements. Therefore, according to the actual situation of Dayaowan operation area of Dalian Port and combined with the tugboat scheduling data of Dalian Port barge Company, this paper will base on the theory of parallel multi-processing task scheduling with special process constraints. Aiming at minimization of completion efficiency and cost, a modeling and analysis of tugboat scheduling problem was carried out. On this basis, a hybrid algorithm combining evolutionary strategy and local search is designed, and the encoding and decoding of evolutionary strategy algorithm, recombination operator and mutation operator are designed. The hybrid algorithm meets the process constraints in the actual operation of the tug. In the course of actual tugboat operation, by adjusting the weight values of two factors, production efficiency and production cost, the optimal solution of reasonable scheduling of tug operation can be obtained. Finally, the effectiveness and practicability of the hybrid algorithm are verified by the comparison of the optimal solution and the simulation results. Therefore, the use of hybrid algorithm to optimize scheduling in actual production will have certain guidance and application significance for the reasonable scheduling of tugboats.
【學(xué)位授予單位】:大連海事大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:U691.3
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