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蜂群算法求解支持模糊QoS约束的电子采购模型 被引量:2

Solving E-Procurement Model Based on Fuzzy QoS-Constraint with Bee Colony Algorithm
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摘要 基于Web的电子物流采购是电子商务的热点.通过将模糊量化的QoS约束加入到Web电子物流采购模型,构造一种带有QoS约束的Web电子物流采购模型,并设计一种改进的人工蜂群算法进行求解.模型基于现有Web采购系统的采购模式,融合了非功能性Web服务评价理论,着重将带QoS约束的电子物流采购选择过程与人工蜂群算法求解过程相结合,从而能快速准确地获得使整体利益最大的解.经仿真计算,验证了模型的有效性. Currently,Web e-procurement is an important part and key research area of E-commerce.An e-procurement with fuzzy QoS-constraint was built.And an improved artificial bee colony algorithm was developed to solve the model.Based on the existing web procurement mode,the model integrates the non-functional evaluation theory of web service.To obtain the solution that maximizes the interests quickly and accurately,the theory and process of artificial bee colony algorithm were used to design the solution process of the model.The results of simulation experiments validate the effectiveness of the model.
出处 《经济数学》 2014年第2期59-63,共5页 Journal of Quantitative Economics
基金 上海市一流学科建设项目(S1201YLXK) 上海市教育委员会科研创新项目(14YZ090) 高等学校博士学科点专项科研基金联合资助课题(20123120120005)
关键词 模糊 QOS约束 人工蜂群算法 电子采购 采购模型 QoS QoS fuzzy QoS-constraint artificial bee colony algorithm e-procurement purchasing model
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