基于多智能体协商的电子市场原料配置模型

Raw material configuration by multi-agent negotiation

基于市场交互机制建立了多智能体之间的协商模型,每个企业看作自利智能体运行生产规划算法购置原料并安排生产,市场智能体作为中间人通过市场规则对智能体的个体选择进行综合并将综合后的结果反馈给每个智能体,这一机制较好地总结了各个终端智能体的个体信息,从而优化个体行为。给出了电子市场原料配置的定价算法和分配算法。仿真试验结果表明,基于市场机制的多智能体协商方法使得每个智能体的效用都有所改善,从而改善了系统的全局收益。

A market-mechanism-based multi-agent negotiation model was put forward.As a mediator,the market Agent summarizes the individual information of each Agent,and then returns the summarized result to them.Each Agent is assumed to compute its best demand by programming algorithm to maximize its utility.The paper gave the pricing algorithm and the allocation algorithm.The simulation results prove this model is better than initial allocation solution.