构建在进化技术上的动态价格优化研究

电子商务改变了企业的定价策略，产品由固定价格转向动态价格。用两种不同的进化算法-遗传算法（GA）和基于种群递增学习算法（PBIL）求解两种不同的动态价格模型，并对两种算法进行了比较。在提出的模型中，算法PBIL的结果及分析充分显示了模型在资源管理中的适用性，以及基于种群的优化技术在动态价格中的应用能力。

Research on optimizing dynamic pricing based on evolutionary computation techniques

E-commerce has transformed the way firms to develop their pricing strategies,producing shift away from fixed pricing to dynamic pricing.This paper uses two different evolutionary computation algorithms,Genetic Algorithm（GA） and Population Based Incremental Learning Algorithm（PBIL） for solving two different dynamic pricing models and compares two algorithms.Promising results and analysis are obtained from PBIL confirming its suitability for resource management in the proposed model and applicability of population based optimization techniques for dynamic pricing.