基于网格和移动Agent技术的openDSS研究  

OpenDSS study based on mobile agent and grid technology

作　　者：黄作维[1] 张喜梅[1] 

机构地区：[1]湖南工业大学计算机学院,湖南株洲412000

出　　处：《计算机工程与设计》2010年第24期5328-5331,5342,共5页Computer Engineering and Design

基　　金：国家自然科学基金项目(60274065)

摘　　要：为了构建具有真正开放性的OpenDSS,提高DSS对于复杂决策问题的效率,提出了网格环境下移动Agent的决策支持系统MABODSS模型。利用移动Agent的智能性和自适应能力,将基于CBR的推理机制用于任务分解和网格决策资源匹配,阐述了MABODSS方案层基于CBR的Agent推理机制及其运作流程和交互机制,把复杂的决策问题求解分布到网格环境的各个节点上,实现决策问题的并行异步求解。通过物流企业配送优化问题的MABODSS设计,表明系统的智能性及运行效率得到提高。To build a truly open OpenDSS and enhance the complexity of decision-making DSS for solving the problem,a MABODSS model is given based on mobile agent open decision support system in grid environment.Using the intelligence of mobile Agent and ada-ptive capacity,based on the CBR reasoning mechanisms for task decomposition and resource decision-making grid matching,layer MA-BODSS program CBR-based reasoning mechanism of the agent and its operation flow and interactive mechanism is described in detail,and the complexity of distribution of decision-making problem solving to the grid nodes on the environment,implementation of parallel asynchronous decision-making problem solving.Optimize distribution through the logistics of the problem MABODSS design,it proved to improve the system’s intelligence and operational efficiency.

关 键 词：网格 移动AGENT OpenDSS WEB SERVICES 基于案例的推理方法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]