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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Acknowledgments
This work is supported by the scientific and technological project of Henan province under Grant No. 172102110031, and by the high-tech people project of Henan institute of science and technology under Grant No. 203010616001.
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Yang, W., Xu, J., Li, Y. (2017). Multi-variety Fresh Agricultural Products Distribution Optimization Based on an Improved Cuckoo Search Algorithm. In: Fei, M., Ma, S., Li, X., Sun, X., Jia, L., Su, Z. (eds) Advanced Computational Methods in Life System Modeling and Simulation. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 761. Springer, Singapore. https://doi.org/10.1007/978-981-10-6370-1_29
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DOI: https://doi.org/10.1007/978-981-10-6370-1_29
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