电子中介的多目标交易匹配问题及其优化方法

Multi-Objective Trade Matching Problem and Optimization Method of E-Brokerage

电子中介是电子商务的一个极为活跃的研究领域。针对电子中介的多目标匹配问题建立了多目标的指派模型,并提出一种多养分的群落选址算法(CLA)进行求解。该算法将原始CLA的单一养分矩阵扩展为多个养分矩阵,利用作物在多种养分滋养下生长的快慢来自动挑选多个指标,从而回避了对多目标决策中多目标向单目标转换的问题。以上方法用于一个工作中介的交易匹配问题中,获得了良好效果。

E-brokerage is a very active research area of e-commerce.We describe the multi objective trade matching problem of e-brokerage by a multi-objective assignment model.A multi-nutrient Colony Location Algorithm(CLA)is designed for the solution.It extends the single nutrient matrix of CLA to multiple ones.Then,multiple objectives can be considered by the species colonies growing process with multiple nutrients.Thus,the transform process from multi-objective to single objective is bypassed.The approach was applied to the trade matching problem of a job hunting e-brokerage website.The satisfactory results have been achieved.