基于云协同进化算法的EIS适应性优化研究  

Enterprise Information System Adaptability Optimization Based on Cloud Co-evolution Algorithm

作　　者：薛朝改[1] 

机构地区：[1]郑州大学管理工程学院,河南郑州450001

出　　处：《工业工程与管理》2013年第6期47-53,共7页Industrial Engineering and Management

基　　金：国家自然科学基金资助项目(70971119;70901066);河南省软科学研究计划项目(132400410424)

摘　　要：为了推动企业信息化的建设,研究了企业信息系统(EIS)的适应性优化方法。首先,为了获得EIS适应性的度量,根据适应性的指标体系,并结合基于对象知识网的EIS形式化方法,量化了适应性的指标;其次,建立了EIS适应性的多目标优化模型,再次,提出了基于云协同进化的优化算法,并针对多目标优化模型特点采用功效系数法获得了模型的优化结果;随之,讨论了模型的应用策略;最后以EIS中某流程适应性的改进为例说明了优化模型以及算法的应用,验证了方法的有效性,为提升EIS的适应性奠定基础。In order to promote enterprise information construction, the optimization of enterprise information system （EIS） adaptability is studied in this paper. First, an index system of EIS adaptability is proposed and quantified based on the formal representation method of EIS, that is,object-based knowledge mesh （OKM）. Second, based on the index system, the multi-objective optimization model of EIS adaptability is constructed. Third, the cloud co-evolution optimization algorithm is proposed, and the function coefficient method is adopted to solve multi-objective problem according to the property of the EIS adaptability optimization model,then the optimized results are obtained. Meanwhile, the application strategies are discussed. Finally, the application of the index system,optimization model and algorithm is applied and verified through an example of a process optimization in EIS, which provided the theoretical basis for the improvement of EIS adaptability.

关 键 词：适应性 优化模型 企业信息系统 云协同进化算法 对象知识网 

分 类 号：TP302[自动化与计算机技术—计算机系统结构]