Meta-heuristic-algorithm-based dynamic marshalling scheduling optimization method
A meta-heuristic algorithm and optimization method technology, applied in the direction of calculation, genetic model, genetic law, etc., can solve the problems of poor practicability, achieve good practicability, and improve the efficiency of marshalling and scheduling
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[0026] refer to Figure 1-3 . The present invention is based on meta-heuristic algorithm The specific steps of the dynamic group scheduling optimization method are as follows:
[0027] To complete the entire shunting operation, the sum of the path lengths traveled by the tractor is:
[0028]
[0029] in Indicates the number of parking spaces experienced by the tractor during the i-th shunting, Indicates the initial lane parking space of the tractor in the current shunting operation, Indicates the final parking space of the tractor in the current shunting operation, and also represents the initial lane parking space of the tractor in the next shunting operation. Then, the objective function can be expressed as:
[0030]
[0031] (a) Taking 7 lanes as an example, there are 10 parking spaces in one lane, so the parking spaces in one lane can be expressed as a set DW 1 ={P 1,1 ,P 1,2 ,P 1,3 ......P 1,10}, and so on, the parking spaces from two lanes to seven lane...
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