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Distribution location routing optimization problem of food cold chain with time window in time varying network

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TLDR
This paper designed satisfaction degree function according to service time windows and established the simulation model under time-dependent to solve the problem of food cold chain logistics distribution system optimization problem.
Abstract
In order to solve the problem of food cold chain logistics distribution system optimization problem,for perishable goods characteristics,combined with the distribution network time-varying characteristics to analyse travel time,this paper designed satisfaction degree function according to service time windows and established the simulation model under time-dependent.It designed the two-phase solution of preoptimization phase and real-time optimization phase,by using the decomposition method,it decomposed the problem,designed the minimum envelope clustering analysis method and tabu search algorithm to solve the problem.Simulation results show the effectiveness of the model and algorithm of practical value.

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Optimization of Location-Routing Problem for Cold Chain Logistics Considering Carbon Footprint.

TL;DR: Carbon tax policies are introduced to analyze the impact of carbon tax on the total costs and carbon emissions, which proves that carbon tax policy can effectively reduce carbon dioxide emissions in cold chain logistics network.
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Optimization of Transportation Routing Problem for Fresh Food by Improved Ant Colony Algorithm Based on Tabu Search

TL;DR: The results showed that, compared with the traditional algorithm, IACATS could reduce the dispatching of two refrigerated vehicles, thus lowering the total cost by 4.94%, shortening the actual transportation distance by 5.50% and cutting the total CO 2 emissions by 8.9%.
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Biobjective low-carbon location-routing problem for cold chain logistics: Formulation and heuristic approaches

TL;DR: A strategy for improving the efficiency of the cold chain logistics network by mixing the types of cargos arranged in one vehicle is developed and the results showed that the delivery strategy, depot cost, depot capacity, crowding distance, and traveling speed have significant effects on the Pareto front.
Journal ArticleDOI

Cold Chain Logistics Path Optimization via Improved Multi-Objective Ant Colony Algorithm

TL;DR: Experimental results show that the proposed ACOMO can effectively solve the vehicle routing problem of the multi-objective optimization model, and outperforms the classic ant colony algorithms, resulting in more Pareto optimal solutions.
Journal ArticleDOI

A novel bi-objective model of cold chain logistics considering location-routing decision and environmental effects.

TL;DR: A cost- saving, energy-saving, and emission-reducing bi-objective model for the cold chain-based low-carbon location-routing problem, which is NP-hard, and a simple and efficient framework combining seven well-known multiobjective evolutionary algorithms (MOEAs).
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