A combined variable aggregation presolving technique for mixed integer programming

被引:0
|
作者
Zhang, Houshan [1 ]
Yuan, Jianhua [1 ,2 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China
[2] Beijing Univ Posts & Telecommun, Key Lab Math & Informat Networks, Minist Educ, Beijing 100876, Peoples R China
基金
中国国家自然科学基金;
关键词
Mixed integer programming; Presolving methods; Variable aggregation; Semi -continuous variables;
D O I
10.1016/j.orl.2024.107074
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
Presolving is a critical component in modern mixed integer programming (MIP) solvers. In this paper, we propose a new and effective presolving method named inequation-based variable aggregation and develop a combined variable aggregation (VA) technique with the advantage of significantly reducing the scales of MIP problems. This technique is particularly effective for problems involving semi -continuous variables, such as unit commitment problems. Extensive numerical experiments demonstrate that the combined VA technique can substantially accelerate the solution process of MIP problems. (c) 2024 Elsevier B.V. All rights reserved.
引用
收藏
页数:6
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