Intelligent transportation scheduling management method based on neural network genetic algorithm
A neural network and scheduling management technology, which is applied in the field of large-diameter and ultra-thick seamless tee fittings for high-pressure hydrogenation, can solve problems such as difficulty in convergence, low computational efficiency, and premature convergence.
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Embodiment 1
[0069] Embodiment 1: as Figure 1-3 Shown: the intelligent transportation scheduling management method based on neural network genetic algorithm of the present embodiment, comprises the following steps:
[0070] A1. Set initialization parameters, establish a data module according to the transportation scheduling management system, and use a transportation plan of materials as a chromosome, and the parameters include information on the delivery point, transfer station information, receiving point information, transportation tool information, and material information A gene as a chromosome; its associated symbols are represented as follows:
[0071] n: delivery point, including {n1, n2, n3...n};
[0072] m: receiving point, including {m1, m2, m3...m};
[0073] In the actual logistics scheduling, the shipping point and the receiving point are in the same set, that is, the shipping point is also used as the receiving point, and the receiving point is also used as the shipping po...
Embodiment 2
[0123] Embodiment 2: This embodiment is basically the same as Embodiment 1, except that the population after each iteration in the genetic algorithm is added to the previous population for calculation to avoid premature convergence and inaccurate data. For example, add the population obtained after the operation of G1 into G1 to obtain population G2, and iterate accordingly.
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