Nature-imitating body optimization method for warehouse site selection of logistics distribution center
A technology of logistics distribution and optimization method, applied in the field of logistics, can solve the problem of small total distance between end customers
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Embodiment 1
[0042] please see figure 1 , a kind of logistics distribution center warehouse site selection method for imitating natural body optimization provided by the present invention comprises the following steps:
[0043] Step 1: Initialize the parameters of the algorithm, including the number of iterations T, the number of candidate solutions N, the dimension of the search space D, the discovery probability P of the candidate solution, the step size control amount α, and the search path L for updating the position of the next candidate solution; where the candidate solution as demand point;
[0044] Assume that there are N demand points within an area, and the coordinates of the demand points are (X i ,Y i ), where the value range of the subscript i is 1≦i≦N, and the default value of demand for each demand point is w i ; There is a coordinate (X 0 , Y 0 ) to provide services for each demand point;
[0045] Step 2: Assuming that the target requirement is the lowest cost functio...
Embodiment 2
[0058] The present invention also provides a method for optimizing the location of a warehouse in a logistics distribution center by imitating a natural body, comprising the following steps:
[0059] Step 1: Initialize the parameters of the algorithm, including the number of iterations T, the number of candidate solutions N, the dimension of the search space D, the discovery probability P of the candidate solution, the step size control amount α, and the search path L for updating the position of the next candidate solution; where the candidate solution as demand point;
[0060] Assume that there are N demand points within an area, and the coordinates of the demand points are (X i ,Y i ), where the value range of the subscript i is 1≦i≦N, and the default value of demand for each demand point is w i ; There is a coordinate (X 0 , Y 0 ) to provide services for each demand point;
[0061] Step 2: Assuming that the target requirement is the lowest cost function H, then constr...
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