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

被引:0
|
作者
Yang, Wenqiang [1 ]
Xu, Junpeng [1 ]
Li, Yongfeng [1 ]
机构
[1] Henan Inst Sci & Technol, Xinxiang, Peoples R China
关键词
Multi-variety fresh agricultural products; Improved cuckoo search algorithm (ICSA); Adaptive adjusting discovery probability; Dynamic step-length; Distribution optimization; FOOD-SUPPLY CHAIN; UNCERTAINTY;
D O I
10.1007/978-981-10-6370-1_29
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:294 / 302
页数:9
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