Linear Homogeneous Algorithms of Global Optimization
The class of homogeneous algorithms (resistant to the shifting of objective function on a constant) is introduced. For this class it is proved that algorithms of global optimization exist for all models of objective function satisfying certain requirements. For the case of linear algorithm the condition stipulating on the model of objective function, guaranteeing convergence for Lipchitz functions is proved. Examples of existing algorithms which are linear and homogeneous (e.g., algorithms on the basis of RSM) are made.
global optimization black boz function homogeneous algorithms Response Surface Methodology splines
S. M. Elsakov V. I. Shiryaev
South Ural State University, Chelyabinsk, 454080, Russia
国际会议
The First World Congress on Global Optimization in Engineering & Science(第一届工程与科学全局优化国际会议 WCGO2009)
长沙
英文
241-247
2009-06-01(万方平台首次上网日期,不代表论文的发表时间)