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This paper studies the impact of seasonal fluctuations in the container liner shipping, and seasonal fluctuations factors and route optimization design linked establish a route optimization model based on seasonal fluctuations, and thus more accurate decision-making in ports to select routes to optimize the design , anchored sequential arrangement the Slot Allocation ship choice program, combined with case analysis, demonstrate the scientific and superiority of this study. Container liner shipping as an important part of the shipping market, due to the impact of various aspects of freight demand and freight rates will produce some seasonal fluctuations, route design a range of issues are not handled properly, can easily lead to space surplus, increase costs, or a large number of dumped goods, reduced income. The route design seasonal fluctuations factors better able to avoid the problem, so that the route design more in line with the actual situation. Route optimization objective function to be improved, the past becomes solving single cabin profit seeking total profit, which reflects the utilization efficiency of the enterprise cost, to arrive at the unit cost for the largest gains. This improvement not only makes the effective capital to get better use of the space ship, and can make the best allocation scheme unnecessary cost savings generated by the repositioning of empty containers. Seasonal fluctuations of this concept, this study focuses on the characteristics of the container liner shipping, and the introduction of the principal component analysis of influencing factors that seasonal fluctuations through the SPSS statistical software, obvious timeliness draw the main factors affect the volatility of the season, which indicates fluctuations in freight demand and freight is known as seasonal fluctuations in line with reality. Paper and then using 0-1 integer programming, the TSP path choice theory, and nonlinear planning a series of mathematical theory on adding the seasonal fluctuations routes optimization problem modeling, single cabin maximum profit as a target value for solving this study of a large characteristics. In this paper, the genetic algorithm in the solution of the model, and thus aid of mathematical software to calculate the route design issues included the choice of the ports of call, affiliated order of arrangement, space allocation, ship and fleet size programs. Finally, this method is applied to China's coastal route to major ports in Southeast Asia, route optimization design, digital experiments demonstrated the research has a very good value.
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