Cold-chain logistics path optimization method based on improved ant colony algorithm
An ant colony algorithm and path optimization technology, applied in logistics, computing, computing models, etc., can solve the problems of stagnant search process, local optimal solution of ant colony algorithm, low search efficiency, etc., so as to improve the accuracy of the solution and expand the search. Space, the effect of improving accuracy
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[0050] The problem of cold chain logistics distribution can be described as a process in which a refrigerated distribution center uses a certain number of refrigerated vehicles to serve customers. The geographical locations of the distribution center and all customers are known. Under certain constraints, different distribution schemes will have different impacts on distribution costs, customer satisfaction and carbon emissions. Finding a solution that minimizes delivery costs, maximizes customer satisfaction, and minimizes cargo damage ratios is therefore critical. The invention relates to the field of cold chain logistics distribution, and aims to provide theoretical reference for path optimization.
[0051] The present invention will be further described below in conjunction with the accompanying drawings.
[0052] see Figure 1-4 , a cold chain logistics path optimization method based on the improved ant colony algorithm, including the following steps:
[0053] (1) On t...
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