Low carbon logistics distribution route optimization research based on improved ant colony algorithm

Because of global warming, the fog weather and other pollution problems, and the increasing deterioration of environment and energy, the low carbon issues become more and more popular in the whole world. Since most carbon pollutions are produced by logistics industry, low carbon is the inevitable trend for logistics industry. In this paper, starting from the actual requirements of low carbon logistics, microscopic quantitative analysis was used for low carbon logistics. The minimum cost of carbon emissions model with considering the cost of carbon emissions were established to find the reasonable distribution routes to achieve energy conservation and emissions reduction based on the solution of chaos ant colony algorithm. According to the simulation of MATLAB, chaos ant colony algorithm had a better effectiveness than the basic ant colony algorithm on the issue of low carbon logistics distribution route optimization.