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>A ROUTE OPTIMIZATION MODEL BASED ON COLD CHAIN LOGISTICS DISTRIBUTION FOR FRESH AGRICULTURAL PRODUCTS FROM A LOW-CARBON PERSPECTIVE
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A ROUTE OPTIMIZATION MODEL BASED ON COLD CHAIN LOGISTICS DISTRIBUTION FOR FRESH AGRICULTURAL PRODUCTS FROM A LOW-CARBON PERSPECTIVE
Aiming at the carbon emissions caused by fuelconsumption and refrigeration of distribution vehi-cles in the cold chain logistics of fresh agricultural products,this paper proposes a route optimizationmodel based on logistics distribution for fresh agri-cultural products from a low-carbon perspective.Firstly,the distribution model is assumed based onactual logistics distribution of fresh agriculturalproducts.Secondly,the fixed cost and transportationcost of vehicles,the loss cost and refrigeration costof fresh agricultural products,the carbon emissioncost and time penalty cost are considered to constructthe distribution cost objective function.Then,the so-lution obtained by simulated annealing algorithm tosolve objective function is used as the initial solutionof ant colony algorithm to get the local optimal solu-tion.Finally,the nearest neighbor search algorithmis combined to obtain the global optimal solution.Inthis paper,experimental research and comparativeanalysis are carried out under the actual fresh agri-cultural product logistics distribution data.The re-sults show that the proposed algorithm is better thanRibonucleic Acid-ant Colony Algorithm (RACA),Quantum Particle Swarm Algorithm (QPSA) andCycle Evolutionary Genetic Algorithm (CEGA).Inthe process of route optimization,the proposed algo-rithm tends to be stable when the number of itera-tions is 125,and its optimal cost is two hundred andthirty thousand RMB.Besides,RACA,QSPA andCEGA require 200,255 and 300 iterations to achievestability respectively.Correspondingly,their opti-mal costs also require two hundred and fifty thou-sand,two hundred and eighty thousand,and three hundred thousand RMB respectively.
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