This paper attempts to optimize the location selection of processing centers, vehicle routing and carbon emissions in the remanufacturing logistics network.For this purpose, the author developed a novel optimization model to minimize the total cost of remanufacturing logistics, and designed an improved multi-objective ant colony optimization (MACO) algorithm to solve the model.The simulation results show the effectiveness and efficiency of our algorithm in solving the optimization problem.The research findings provide a reference for reducing reverse logistics cost considering environmental factors.
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Li et al. (2019) studied this question.
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