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生鲜食品多阶段动态定价模型及算法
引用本文:唐磊,赵林度,张煜东. 生鲜食品多阶段动态定价模型及算法[J]. 系统管理学报, 2010, 19(2)
作者姓名:唐磊  赵林度  张煜东
作者单位:1. 东南大学,系统工程研究所,南京,210096
2. 东南大学,信息科学与工程学院,南京,210096
基金项目:国家科技支撑计划重大项目,国家自然科学基金,江苏省"六大人才高峰"项目 
摘    要:
考虑消费者购买行为,建立生鲜食品多阶段动态定价模型,力图使零售价格能够动态地反映生鲜食品的价值波动,采用基于正负反馈机制的改进蚁群算法求解模型。通过不同算例仿真分析,表明该模型优于传统模型;同时将本文算法与其他3种算法进行对比,从收敛性能和运行时间方面证实本文算法更优。

关 键 词:随机需求  动态定价  生鲜食品  蚁群算法

Research on Multi-Period Dynamic Pricing Model and Algorithm for Fresh Foods
TANG Lei,ZHAO Lin-du,ZHANG Yu-dong. Research on Multi-Period Dynamic Pricing Model and Algorithm for Fresh Foods[J]. Systems Engineering Theory·Methodology·Applications, 2010, 19(2)
Authors:TANG Lei  ZHAO Lin-du  ZHANG Yu-dong
Affiliation:TANG Lei~a,ZHAO Lin-du~a,ZHANG Yu-dong~b(a.Institute of Systems Engineering,b.School of Information Science & Engineering,Southeast University,Nanjing 210096,China)
Abstract:
Considering buyers behaviors,multi-period dynamic pricing model for fresh foods is deduced,which tries to make retail price reflect the value of the product warily.And an improved ant colony algorithm based on plus/minus feedback mechanism is proposed to resolve this model.Analysis of different numerical examples indicates that this model is superior to traditional models.Comparing with other three different algorithms,the validity of proposed algorithm can be approved from two aspects: convergence capabili...
Keywords:stochastic demand  dynamic pricing  fresh foods  ant colony algorithm  
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