Solving linear and bilinear problems with interval uncertainty

被引：0
作者：
Latipova, A. T. [1 ]
机构：
[1] South Ural State Univ, 76 Lenin Ave, Chelyabinsk 454080, Russia
来源：
INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING (ICIE-2015) | 2015年 / 129卷
关键词：
Operational research; interval analysis; programming; bilinear problem;
D O I：
10.1016/j.proeng.2015.12.089
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Two kinds of optimization problems, which can be used in production planning, have been considered: interval linear programming (ILP), finding equilibrium position interval for the Von Neumann model (bilinear problem). Initial data for these models commonly have interval uncertainty. The paper presents definitions of different solution types and methods for finding these solutions. These methods imply reducing interval optimization problems to exact ordinary linear programming problems. (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：670 / 675
页数：6
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