Modeling combinatorial disjunctive constraints via junction trees
成果类型:
Article
署名作者:
Lyu, Bochuan; Hicks, Illya V.; Huchette, Joey
署名单位:
Rice University; Alphabet Inc.; Google Incorporated
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-023-01955-3
发表日期:
2024
页码:
385-413
关键词:
base-2 expansions
integer
optimization
complexity
graphs
formulations
algorithm
摘要:
We introduce techniques to build small ideal mixed-integer programming (MIP) formulations of combinatorial disjunctive constraints (CDCs) via the independent branching scheme. We present a novel pairwise IB-representable class of CDCs, CDCs admitting junction trees, and provide a combinatorial procedure to build MIP formu-lations for those constraints. Generalized special ordered sets (SOS k) can be modeled by CDCs admitting junction trees and we also obtain MIP formulations of SOS k. Furthermore, we provide a novel ideal extended formulation of any combinatorial dis-junctive constraints with fewer auxiliary binary variables with an application in planar obstacle avoidance.