Vault trunk task branch mixed route planning method
A route planning and tail box technology, applied in finance, genetic laws, biological neural network models, etc., can solve problems such as high escort risk and escort cost, impact on cash flow efficiency, easily overlooked bank branch handover time, and branch importance. , to reduce traffic congestion, reduce operating costs, and improve on-time performance
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Embodiment 1
[0024] Attached below Figure 1-2 The present invention is further described, the treasury tail box task network point mixed route planning method, the treasury tail case task network point mixed route planning includes early delivery line planning and late receipt line planning, it is characterized in that the method includes the following steps:
[0025] Step one, such as figure 1 As shown, the escort company is used as the starting point, and each bank outlet is used as the receiving and delivery target, and the longitude and latitude coordinates of the escort company and each bank outlet are collected; the longitude and latitude coordinate data of the escort company and each bank outlet are substituted into the saving algorithm. Based on the multiple restrictions of the vehicle capacity of the escort vehicle, the volume of tail boxes at each bank outlet, the earliest delivery time of the first bank outlet, the latest delivery time of the last bank outlet, and the length of...
Embodiment 2
[0035] The difference between this embodiment and Embodiment 1 is that in step 2, only the non-dominated sorting genetic algorithm with the elite retention strategy is used to optimize each initial escort route, specifically the vehicle capacity of the escort vehicle, the tail box volume of each bank outlet, The number of bank outlets for each escort line, the earliest delivery time of the first bank outlet, the latest delivery time of the last bank outlet, and the length of stay at each bank outlet are substituted into the algorithm to obtain the optimal result of the escort line with the least conflict of the above parameter values.
Embodiment 3
[0037] In the second step, the combination of simulated annealing algorithm and non-dominated sorting genetic algorithm with elite retention strategy is used to locally optimize each escort line, specifically: first use simulated annealing algorithm to optimize the road path of each escort line; The non-dominated sorting genetic algorithm with elite retention strategy optimizes each escort route, and the optimal path of the escort route is also substituted into the non-dominated sorting genetic algorithm with elite retention strategy as a parameter value.
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