Description: 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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