基于多Agent的组合模型链分布式求解算法及实现

Distributed Problem Solving Algorithm and Realization of Combined Model Chain Based on Multi-agent Technique

在决策支持系统中,组合模型往往是解决复杂决策问题的有效途径,但无论采用何种模型组合技术,随着模型库模型的增多,模型组合过程中生成的模型链数量都会快速增加,这样势必造成求解速度上的瓶颈。针对这种情况,文章提出了一种基于多Agent的组合模型分布式求解模型,充分利用分布式技术快速对组合模型实现并行求解,从而提高模型组合求解的效率,保证决策的实时性。

Combined model used to be an efficient way to resolve complex decision problems in DSS.Whatever model combination technique is adopted,model chains generated in model combination process increases rapidly as the number of models in model bases increases so as to form a bottle-neck in problem solving speed.Considering the situations above,the author has put forth a distributed problem resolving model of combined model based on multi-agent technique,which adopts distribution technique to resolve problems in a parallel way to enhance the efficiency of problem-solving using combined model to ensure real-time decision process.