Explanation of goal softening in ordinal optimization

作     者：Lee, LH Lau, TWE Ho, YC 

作者机构：Natl Univ Singapore Dept Ind & Syst Engn Singapore 117548 Singapore Harvard Univ Div Engn & Appl Sci Cambridge MA 02138 USA 

出 版 物：《IEEE TRANSACTIONS ON AUTOMATIC CONTROL》 (IEEE Trans Autom Control)

年 卷 期：1999年第44卷第1期

页      面：94-99页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0811[工学-控制科学与工程] 

主　　题：alignment probability order statistics selection algorithms stochastic optimization 

摘      要：The authors explain the role of goal softening in the convergence of alignment probability employed in Ordinal Optimization. Using the an order statistics formulation, they examine the exponential decrease of misalignment probability bounds when two or more designs are compared. Their conclusion states that, by relaxing the good enough subset and selected subset criteria it is exponentially efficient in terms of matching good designs in a selected group.