Improved genetic algorithm-based bus resource dispatching method
A technology for improving genetic algorithms and public transport vehicles, applied in the field of urban rail transit, can solve problems such as the impact of normal operations and the impact of normal travel of urban residents, and achieve the effect of reducing property losses and negative impacts
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[0019] The present invention will be further described below with reference to specific embodiments and accompanying drawings.
[0020] The improved genetic algorithm flow chart of the present invention, such as figure 1 As shown, the first step is to define the chromosome coding rules and randomly generate the initial population; the chromosome coding rules are defined as follows: A represents any random bus vehicle resource scheduling method, X j The total number of vehicles dispatched for each bus dispatch point, X ij The number of vehicles dispatched for each bus dispatch point to each interrupted station, there are m bus dispatch points and n interrupted stations in the bus emergency linkage distribution system, then the expression of A is
[0021] A = ( X 1 , ...
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