Method for optimizing sea-railway combined transportation route in Chinese-European land-sea fast line
An optimization method, land-sea express technology, applied in the direction of complex mathematical operations, instruments, data processing applications, etc., can solve the problems of low transportation efficiency, unreasonable transportation plan transportation efficiency, etc., and achieve the effect of improving the transportation service level
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Embodiment 1
[0054] Reference attached figure 1 , in this embodiment, it relates to a method for optimizing the route of the China-Europe Land-Sea Express Line-China-Sea-Rail combined transport, including the following steps:
[0055] S1. Construct the China-Europe Land-Sea Express Line China-Sea Railway Combined Transportation Route Network;
[0056] S2. According to the transportation network of the China-Europe Land-Sea Express Line-China-Sea-Railway combined transport route in step S1, construct a model for the optimization of the China-Europe Land-Sea Express Line-Sea-Railway combined transport route;
[0057] S3. Using a genetic algorithm to solve the optimization model in step S2.
[0058] Further, the step S1 includes Chinese domestic transportation cost and transportation time, ocean transportation cost and transportation time, European transportation cost and transportation time;
[0059] Further, the domestic transportation cost and transportation time in China are calculated ...
Embodiment 2
[0099] When considering the solution of the route optimization problem, the present invention adopts genetic algorithm. The genetic algorithm is an algorithm that simulates the theory of biological evolution proposed by the famous biologist Darwin. In Darwin's theory of evolution, nature will test creatures according to the living environment in nature, leaving individuals with high-quality genes and suitable for survival. The fitness of the genetic algorithm is equivalent to searching for individuals in nature by setting rules and adopting the method of survival of the fittest. Individuals who adapt to the environment will have a greater chance of survival and produce offspring. Its characteristic is that it can retain potential deconstructed genes in the inheritance, and then realize the global search. Genetic algorithm is very suitable for multi-objective function optimization and nonlinear combinatorial optimization problems because of its low requirements on mathematics, ...
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