作　　者： (马斌）; (吴泽忠）;

机构地区： 成都信息工程大学应用数学学院,四川成都610225

出　　处： 《成都信息工程大学学报》 2017年第3期336-340,共5页

摘　　要： 供应链网络是一个复杂的动态系统,使供应链网络达到均衡状态是供应链管理决策中的一个重要问题。而人工蜂群算法可以通过若干智能体相互协作,高效的对复杂目标进行搜索。介绍了确定需求下的供应链网络均衡模型,运用变分不等式得到均衡模型,进而转化为无约束优化问题,并用人工蜂群算法求解。实验结果表明,人工蜂群算法能够在较短时间内找到满意的解,提高供应链网络的求解效率,为求解供应链网络提供了一种新的方法。 Supply chain is a complex dynamic system,it is an important problem to find the final supply chain network equilibrium status in supply chain management. The artificial bee colony（ ABC） algorithm can search complicated targets efficiently by cooperating with several agents. The equilibrium model of supply chain under deterministic demand is introduced in this paper,the variational inequality method is used to obtain the equilibrium model,which is transformed into an unconstrained continuously differentiable minimization formulations and artificial bee colony algorithm is capable of finding a solution of the model. The simulation results show that it can improve the efficiency of solving supply chain network problems by finding relatively satisfactory solutions in a short time,and a new method is provided for solving the supply chain network.

关 键 词： 应用数学 优化与算法 供应链网络 变分不等式 动态网络均衡 人工蜂群算法