文件名称:2
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提升复杂系统的定量决策支持,将成本作为独立变量(CAIV)寻求“最佳”点设计,是一个约束的非线性优化问题,其目标函数是最优有效性度量(MOE)表示,由基于性能的成本模型、二阶约束MOEs、系统性能指标的界限(MOPs)构成。算法采用的是同时扰动随机逼近方法(SPSA)。附件中是二阶约束MOEs模型的仿真程序。附:仿真流程图-Ascend the quantitative decision support of complex systems, will cost as an independent variable (CAIV), look for the \"best\" design is a constrained nonlinear optimization problem, the objective function is the optimal effectiveness measures (MOE), said by a cost model based on performance, second-order constraints, the boundaries of MOEs, system performance index (MOPs). Algorithm USES a method perturbation stochastic approximation (SPSA) at the same time. Attached is a quadratic constraint MOEs simulation program of the model.
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下载文件列表
Untitled.m
mcmfunpf2s.m
MCM仿真流程图.JPG