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On SOCP-based disjunctive cuts for solving a class of integer bilevel nonlinear programs

Authors :
Gaar, Elisabeth
Lee, Jon
Ljubić, Ivana
Sinnl, Markus
Tanınmış, Kübra
Publication Year :
2022

Abstract

We study a class of integer bilevel programs with second-order cone constraints at the upper-level and a convex-quadratic objective function and linear constraints at the lower-level. We develop disjunctive cuts (DCs) to separate bilevel-infeasible solutions using a second-order-cone-based cut-generating procedure. We propose DC separation strategies and consider several approaches for removing redundant disjunctions and normalization. Using these DCs, we propose a branch-and-cut algorithm for the problem class we study, and a cutting-plane method for the problem variant with only binary variables. We present an extensive computational study on a diverse set of instances, including instances with binary and with integer variables, and instances with a single and with multiple linking constraints. Our computational study demonstrates that the proposed enhancements of our solution approaches are effective for improving the performance. Moreover, both of our approaches outperform a state-of-the-art generic solver for mixed-integer bilevel linear programs that is able to solve a linearized version of our binary instances.<br />Comment: arXiv admin note: substantial text overlap with arXiv:2111.06824

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2207.05014
Document Type :
Working Paper
Full Text :
https://doi.org/10.1007/s10107-023-01965-1