Outcome space range reduction method for global optimization of sum of affine ratios problem

被引:27
作者
Jiao, Hongwei [1 ]
Liu, Sanyang [2 ]
Yin, Jingben [1 ]
Zhao, Yingfeng [2 ]
机构
[1] Henan Inst Sci & Technol, Sch Math Sci, Xinxiang 453003, Peoples R China
[2] Xidian Univ, Sch Math & Stat, Xian 710071, Peoples R China
基金
中国国家自然科学基金;
关键词
Range reduction method; Global optimization; Sum of affine ratios; Linear relaxation program; Branch-and-bound; BOND PORTFOLIO OPTIMIZATION; BOUND ALGORITHM;
D O I
10.1515/math-2016-0058
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Many algorithms for globally solving sum of affine ratios problem (SAR) are based on equivalent problem and branch-and-bound framework. Since the exhaustiveness of branching rule leads to a significant increase in the computational burden for solving the equivalent problem. In this study, a new range reduction method for outcome space of the denominator is presented for globally solving the sum of affine ratios problem (SAR). The proposed range reduction method offers a possibility to delete a large part of the outcome space region of the denominators in which the global optimal solution of the equivalent problem does not exist, and which can be seen as an accelerating device for global optimization of the (SAR). Several numerical examples are presented to demonstrate the advantages of the proposed algorithm using new range reduction method in terms of both computational efficiency and solution quality.
引用
收藏
页码:736 / 746
页数:11
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