The stochastic optimization algorithm is studied and the model of the power management system is presented 摘要研究了隨機(jī)最優(yōu)算法,并建立了該算法的電源管理系統(tǒng)模型。
Due to its character of " uphill climbing " , stochastic optimization algorithm is widely used to solve inverse problems 因而具有“上山”性的隨機(jī)類優(yōu)化算法成為求解逆問題的主要數(shù)學(xué)工具。
Sa is a stochastic optimization technique that has been used to solve continuous , order discrete and muti - modal optimization problems 模擬退火算法是一種用于解決連續(xù)、有序離散和多模態(tài)優(yōu)化問題的隨機(jī)優(yōu)化技術(shù)。
The stochastic optimization algorithm can get favorable equilibrium between the energy consumption and the reliability of performance in the system 隨機(jī)最優(yōu)算法可以在節(jié)約系統(tǒng)能耗和保證系統(tǒng)性能之間取得較好的平衡。
The consumption - wealth ratio , the mean growth rate of economic and the portfolio shares were derived by using stochastic optimization method 通過隨機(jī)最優(yōu)化方法,確定了均衡狀態(tài)下的消費(fèi)財(cái)富比,期望經(jīng)濟(jì)增長(zhǎng)率以及貨幣資本的份額。
Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear in the formulation of the optimization problem itself, which involve random objective functions or random constraints, for example.