摘要
针对供应链企业之间的产销协同问题,将多Agent技术运用于二级供应链中,建立一种不完全信息约束下的并发协商模型。基于粒子群优化的协调策略可以在协商过程中更新协商Agents信念值进而支持连续协商。仿真结果表明此模型的可行性和有效性,与其他并发协商模型相比,该模型在协商结果效用、协商时间、协商成功率方面具有优势。
For the production-marketing collaboration among supply chain enterprises,the multi-agent technology is applied to two-stage supply chain,and the concurrent negotiation model with incomplete information is proposed. The particle swarm optimization can update belief valve of the negotiation agents to support the continuous negotiation. The simulation results show its feasibility and effectiveness,and it has advantages in terms of negotiation efficiency,negotiation time and success rate compared to the other negotiation model.
出处
《计算机工程与应用》
CSCD
北大核心
2016年第4期229-233,260,共6页
Computer Engineering and Applications
基金
国家自然科学基金(No.71371018
No.71071005)
国家社会科学基金青年项目(No.13CGL002)
关键词
并发协商
粒子群优化
Parzen窗估计
多AGENT
供应链
concurrent negotiation
particle swarm optimization
Parzen windows estimation
multi-agent
supply chain
