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面向武器装备体系组合规划的集成决策优化框架
引用本文:周宇,杨克巍,姜江,谭跃进.面向武器装备体系组合规划的集成决策优化框架[J].国防科技大学学报,2013,35(3):36-41.
作者姓名:周宇  杨克巍  姜江  谭跃进
作者单位:国防科学技术大学 信息系统与管理学院,国防科学技术大学 信息系统与管理学院,国防科学技术大学 信息系统与管理学院,国防科学技术大学 信息系统与管理学院
基金项目:国家自然科学基金资助项目(71031007, 70901074, 71001104, 71201168)
摘    要:针对当前武器装备体系组合规划存在选择空间规模大、决策目标数量多等问题,提出一种集成决策优化框架,用于组合选择和规划武器装备的发展型号、时间和数量。首先对武器装备体系组合规划问题的NP-Hard和高维多目标性质进行定量化分析和公式化描述;然后采用目标规划方法将该问题构建为双目标优化模型;再基于NSGA-II多目标演化计算方法,开发面向本问题的优化算法,求得该模型的Pareto解集合;最后通过TOPSIS方法,从Pareto解集合中求取符合决策者偏好的满意解。通过某侦察预警监视体系发展规划示例,验证了当给定经验数据和决策者偏好信息后,该框架可获得符合要求的武器装备体系组合规划方案,能够支撑武器装备体系发展论证和规划。

关 键 词:武器装备体系  组合规划  目标规划  NSGA-Ⅱ  TOPSIS
收稿时间:2012/11/30 0:00:00

An Integrated Decision Making and Optimization Framework for System of Armament Systems Portfolio Planning
ZHOU Yu,YANG Kewei,JIANG Jiang and TAN Yuejin.An Integrated Decision Making and Optimization Framework for System of Armament Systems Portfolio Planning[J].Journal of National University of Defense Technology,2013,35(3):36-41.
Authors:ZHOU Yu  YANG Kewei  JIANG Jiang and TAN Yuejin
Institution:College of Information System and Management, National University of Defense Technology, Changsha 410073, China;College of Information System and Management, National University of Defense Technology, Changsha 410073, China;College of Information System and Management, National University of Defense Technology, Changsha 410073, China;College of Information System and Management, National University of Defense Technology, Changsha 410073, China
Abstract:Aiming at the complexities such as huge solution space and many decision-making objectives in the system of armament systems portfolio planning, an integrated decision making and optimization framework is proposed to select the models from the candidate armament systems, and plan the development time and production quantity of the selected armament systems. This paper quantitatively describes and formulates the system of armament systems portfolio planning, and focusing on the NP-hard and the large-dimensional multi-objective nature firstly; a dual-objective optimization model is proposed through adopting the goal programming method secondly; an intelligent optimization approach is developed based on the NSGA-II evolutionary computation method, in order to obtain the Pareto solutions set thirdly; the TOPSIS method is applied to acquire the compromise solution finally. A portfolio planning example on a system of intelligence, surveillance, reconnaissance systems validates the effectiveness of the framework. When given empirical data and decision-makers preferences, the framework can get the satisfactory portfolio plan, which supports the demonstration and development for the system of armament systems.
Keywords:system of armament systems  portfolio planning  goal programming  NSGA-II  TOPSIS
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