基于遗传算法和模糊综合评价的虚拟企业风险规划(英文)  

Genetic Algorithm and Fuzzy Synthetic Evaluation Based Risk Programming for Virtual Enterprise

作　　者：黄敏[1] 杨红梅[1] 王兴伟[1] 

机构地区：[1]东北大学信息科学与工程学院,沈阳110004

出　　处：《自动化学报》2004年第3期449-454,共6页Acta Automatica Sinica

基　　金：Supported by National Natural Science Foundation(70101006, 60003006);the National High-Tech Research and Development Plan(2001AA121064);the Natural Science Foundation of Liaoning Province(20032018, 20032019, 001015);the Returned overseas Chinese Scholors

摘　　要：虚拟企业是未来企业的潜在发展模式,虚拟企业的风险管理是当前研究的热点问题,风险规划是风险管理的重要阶段之一.本文针对虚拟企业缺少历史资料、不确定因素多等特点,提出了非线性整数规划和模糊综合评价相结合的风险规划问题描述模型以及遗传算法与模糊综合评价相结合的问题求解算法.实例仿真验证了该方法的有效性.该方法能够实现在一定风险费用投入的情况下,通过优化组合风险处理措施,达到虚拟企业整体风险水平最低的目标,是虚拟企业风险规划的科学管理方法.Virtual enterprise is a potential mode for enterprises in the future. The risk management for virtual enterprises has become a hot research area recently. Risk programming is one of the important stages of risk management. There is always lack of historical data and there are many uncertain factors in a virtual enterprise. Hence, in this paper, a fuzzy synthetic evaluation embedded nonlinear integer programming model of the risk programming is established for the virtual enterprise and a fuzzy synthetic evaluation embedded genetic algorithm is presented for the model. Examples suggest the usefulness of the method. Using this method, the global risk level of the virtual enterprise is minimized by combinatorial optimization of risk solutions with the constraint of risk investment.

关 键 词：虚拟企业 风险规划 遗传算法 模糊综合评价 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]