Order-Value Optimization:: Formulation and solution by means of a primal cauchy method

被引:10
作者
Andreani, R
Dunder, C
Martínez, JM
机构
[1] Univ Campinas, IMECC UNICAMP, Dept Appl Math, BR-13081970 Campinas, SP, Brazil
[2] Univ Sao Paulo, IME USP, Dept Appl Math, BR-05508900 Sao Paulo, Brazil
关键词
Order-Value Optimization; iterative methods; global convergence; fitting parameters;
D O I
10.1007/s001860300297
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The Order-Value Optimization (OVO) problem is a generalization of the classical Minimax problem. Instead of the maximum of a set functions, the functional value that ranks in the p-th place is minimized. The problem seeks the application to (non-pessimistic) decision making and to model fitting in the presence of (perhaps systematic) outliers. A Cauchy-type method is introduced that solves the problem in the sense that every limit point satisfies an adequate optimality condition. Numerical examples are given.
引用
收藏
页码:387 / 399
页数:13
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