针对生鲜产品的JRD及其RFID投资决策模型的多策略改进算法优化研究

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Research on Multi-strategy Improvement Algorithm Optimization of JRDand RFID Investment Decision ModelforFreshProducts

LIU Yizheng （BusinessSchool，Wuhan Huaxia Instituteof Technology，Wuhan ，China）

关键词：人工蜂群算法；算法改进；RFID投资；联合补货与配送；生鲜产品 中图分类号：F259.27 文献标志码：A DOI：10.13714/j.cnki.1002-3100.2025.18.003

Abstract：ThejinteplensmentaddistributioJDfmultiplevarietisofreshfoodanditsnvesmentdcsiomoels nondeterministicpolynomial（NP）problem.Byanalyzingthecharacteristicsofthemodel，thispaperproposesanimprovedartificial beecolony （IABC）algorithm tosolvethemodel，andusesalarge numberofnumerical examples toverifythepracticalityof the algorithm.TheexperimentalresultsshowthatIABCperformsbeterinbothconvergencespeedandsolutionquality.Theresultsof thistudynotonlyexpandtheapplicationscopeofartificialbeecolonyalgorithm，enablingittohandlemorecomplexandpractical supplycainoptimizationproblems，utalsoprovideusefulreferenceforfreshfodenterprisestoachievelargescaleinvestmet in RFID technology and apply the JRD strategy.

KeyWords：ticalogoriitmprovt;esmnt;tepletdtbtiorhodct

0引言

生鲜零售市场对产品的配送条件相较其他市场更为苛刻，在互联网和智能设备的驱动下，消费者对生鲜零售市场的反应速度和配送速度提出了更高的要求。（剩余5667字）