Research on site selection-path of low-carbon logistics based on improved ACO-SOA
The dairy industry is one of the main industries with the ever-growing global emissions of greenhouse gas,and China is also a major consumer of dairy products.In this article,in order to reduce both the total cost and the carbon emissions of the cold chain logistics system in the dairy distribution centers,and in response to the national policy of"low-carbon economy",such prob-lems as site selection and path for dairy distribution centers are combined,and the optimization model consisting of fixed cost,trans-portation cost,refrigeration cost,cargo-damage cost,and carbon-emissions cost is set up.Besides,efforts are made to design and apply the improved seagull algorithm that integrates the ant colony algorithm for solutions.Then,the individual repair schemes are incorporated in the encoding and decoding operations,so as to avoid individual gene failure caused by genetic sequence disorder during evolution.At the same time,the 3-opt operator is introduced to optimize the capability of local search without reducing the effi-ciency in programming.MATLAB is used to simulate the examples;the improved ant colony-seagull(ACO-SOA)algorithm is com-pared with the traditional seagull algorithms,the ant colony algorithm,and the genetic algorithm.The results show that the improved ACO-SOA algorithm has significant advantages over the traditional algorithms,which has verified that this algorithm is effective.
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