Abstract To minimize the losses of multi-variety perishable agricultural products, a mathematical model considering time sensitive feature of each perishable agricultural product is proposed. Meanwhile, a cuckoo search algorithm (CSA) is introduced to minimize the total losses of agricultural products. In view of poor exploration and exploitation ability of CSA, adaptive adjusting discovery probability and dynamic step-length is imposed to form an improved cuckoo search algorithm (ICSA). Finally, to verify the performance of the proposed algorithm, it is compared with cuckoo search and genetic algorithm (GA). Simulation results prove that the feasibility and superiority of the proposed algorithm.


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    Title :

    Multi-variety Fresh Agricultural Products Distribution Optimization Based on an Improved Cuckoo Search Algorithm


    Contributors:
    Yang, Wenqiang (author) / Xu, Junpeng (author) / Li, Yongfeng (author)


    Publication date :

    2017-01-01


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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