To effectively address the issues of high pollutant gas emissions and high logistics costs in the cold chain logistics process,the optimization of distribution center locations and vehicle routing is investigated.A multi-objective optimization model for cold chain logistics distribution,which considers cost,time,and carbon emissions,is developed.To solve the model's complexity,an improved NSGA-Ⅱ algorithm incorporating immune operators is proposed.The model and algo-rithm are tested and analyzed using real-world case studies.The results indicate that carbon emis-sions significantly impact the optimal decisions regarding the location of distribution centers and the selection of transportation routes in cold chain logistics.Compared to traditional algorithms,the im-proved NSGA-Ⅱ algorithm demonstrates superior performance in computational efficiency,diversi-ty,and convergence.The study's findings validate the model and algorithm's applicability in guiding the optimization decisions for cold chain logistics distribution center location and vehicle routing,providing new theoretical supports for enterprise decision-making.
维普
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