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中文摘要：
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。
英文摘要：
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 capability and computation time.
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