Freight train operation curve optimization method based on improved multi-target grey wolf algorithm
A multi-objective optimization, freight train technology, applied in the field of train automatic driving, can solve problems such as inability to accurately describe the train running process, ignoring the interaction force between vehicles, not considering the coupling relationship between vehicles, etc., to optimize the running curve and smooth the switching process. , the effect of running on time
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[0049] The invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0050] Such as figure 1 As shown, the invention provides a cargo train operating curve optimization method based on improved multi-target gray wolf algorithm, and establishes freight train based on speed adaptive homogeneous rod model and multi-quality model. According to the operating state change, use the speed transform formula to ensure smoothness of the entire switching process. Construction of the vehicle's hook buffer modeling and multi-objective optimization model. The use of improved multi-target gray wolf algorithm to establish a train optimization manipulation model, ensuring the distribution and convergence of the algorithm, and obtains the train operation optimization curve.
[0051] Such as figure 2 As shown, the invention can be verified by simulation, including the following steps:
[0052] Step 1: Analyze the operation of the freig...
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