多目标优化理论在武器装备采办委托代理策略中的应用  

Application of multi-objective optimization theory to the principal-agent strategy in weapon equipment acquisition

作　　者：张蓉[1] 陈云翔[1] 李大伟[1] 

机构地区：[1]空军工程大学装备管理与安全工程学院,陕西西安710051

出　　处：《应用科技》2013年第6期29-33,共5页Applied Science and Technology

基　　金：国家基础研究基金资助项目(51327020104)

摘　　要：武器装备呈现出技术密集、知识密集和系统复杂等特点,同时也带来了采办委托代理的高投入、高风险.分析了武器装备采办委托代理过程的各种组成要素,引入多目标最优理论,提出武器装备采办委托代理的质量最优、成本最低目标函数,给出相应的约束条件,建立委托代理最优化策略数学模型.针对模型特点提出禁忌搜索进化算法对模型进行寻优求解,通过仿真实例比较证明该委托代理策略具有可行性和高效性.With the quick development of science and technology, weapon equipment becomes more and more intri- cate, causing high risk and cost for the principal-agent of equipment acquisition. In this paper, the authors analyze various constituents in the principal-agent process for the acquisition of weapon equipment, introdiace a multi-objec- tive optimization theory, propose a target function with the optimal quality and the lowest cost for the principal-agent of weapon equipment acquisition, give corresponding constraint conditions and establish a mathematic model on the optimized principal-agent strategy. In addition, according to the characters of the model, the taboo search evolution- ary algorithm is applied to seek the optimal solution of model. It is verified by simulation that the principal-agent strategy is feasible and highly-efficient.

关 键 词：委托代理 武器装备 多目标优化 禁忌搜索进化算法 

分 类 号：F223[经济管理—国民经济] TP301[自动化与计算机技术—计算机系统结构]