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Article Information:
Modeling and Optimization of Food Cold-chain Intelligent Logistics Distribution Network
Wuxue Jiang, Zhixiong Hu, Yan Liang and Yuqiang Chen
Corresponding Author: Wuxue Jiang
Submitted: August 13, 2014
Accepted: September 22, 2014
Published: March 15, 2015 |
Abstract:
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Aiming at improving the efficiency of food cold-chain logistics network, shortening the logistic time of food and reducing the logistics cost of food, this study analyzes the optimization strategy and various cost factors of the supply network of food cold chain and establishes and expands a kind of logistics network model adapting to the food cold-chain logistics. We use an improved genetic algorithm to solve the model and design an effective coding scheme, through the modified adaptive crossover probability and mutation probability, we integrate them into the elitism strategy, which has effectively avoided the prematurity of the algorithm and improved the operation efficiency of the algorithm. In the same instance, compared with the simple genetic algorithm, this study puts forward that the average running time and the average iteration number of the improved genetic algorithm have reduced nearly 50%, which has proved the feasibility and the effectiveness of the model and the algorithm.
Key words: Elitism strategy, food cold chain, genetic algorithm, logistics network, , ,
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Cite this Reference:
Wuxue Jiang, Zhixiong Hu, Yan Liang and Yuqiang Chen, . Modeling and Optimization of Food Cold-chain Intelligent Logistics Distribution Network. Advance Journal of Food Science and Technology, (8): 573-578.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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