摘要
鉴于蚁群算法具有较强的发现优选解的能力,将其用于产品销售渠道的优选问题中。当企业收集到某种新产品在可能销售地点的销售收益时,可以利用蚁群算法,求得在已知产品销售渠道和销售支出费用上限的约束条件下的最大销售收益。提出了基于蚁群算法的问题流程图,以实例分析证明了蚁群算法在产品销售渠道优选问题上,具有一定的有效性和较快的收敛速度。
Ant colony algorithm has strong ability to find optimal solutions, it can be used for optimization selection of product distribution channels problem. When the information of potential profits which a new product will make in certain selling locations is gathered, ant colony algorithm can be used to obtain the highest sales revenue, if the sales channels and marketing expenses cap are known. The flow chart based on ant colony algorithm was presented. And finally it was proved by case analysis that, ant colony optimization algorithm has effectiveness and good convergence speed, when it is used for the issue of selling channels selection.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2011年第6期1011-1014,共4页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
广州市教育局教育科研基金资助项目(09A172)
关键词
蚁群算法
销售渠道
销售收益
ant colony algorithm
selling channels
sales profits
作者简介
王越超（1978-），男，辽宁沈阳人，广东工业大学自动化学院博士研究生；广州城市职业学院信息系讲师
