A Multi-Reference Relaxation Enforced Neighborhood Search Heuristic in SCIP

Fuente: arXiv
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Main Authors: Bolusani, Suresh, Mexi, Gioni, Besançon, Mathieu, Turner, Mark
Format: Preprint
Published: 2024
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author Bolusani, Suresh
Mexi, Gioni
Besançon, Mathieu
Turner, Mark
author_facet Bolusani, Suresh
Mexi, Gioni
Besançon, Mathieu
Turner, Mark
contents This paper proposes and evaluates a Multi-Reference Relaxation Enforced Neighborhood Search (MRENS) heuristic within the SCIP solver. This study marks the first integration and evaluation of MRENS in a full-fledged MILP solver, specifically coupled with the recently-introduced Lagromory separator for generating multiple reference solutions. Computational experiments on the MIPLIB 2017 benchmark set show that MRENS, with multiple reference solutions, improves the solver's ability to find higher-quality feasible solutions compared to single-reference approaches. This study highlights the potential of multi-reference heuristics in enhancing primal heuristics in MILP solvers.
format Preprint
id arxiv_https___arxiv_org_abs_2408_00718
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Multi-Reference Relaxation Enforced Neighborhood Search Heuristic in SCIP
Bolusani, Suresh
Mexi, Gioni
Besançon, Mathieu
Turner, Mark
Optimization and Control
Mathematical Software
90-08, 90C11, 90C57, 90C59,
This paper proposes and evaluates a Multi-Reference Relaxation Enforced Neighborhood Search (MRENS) heuristic within the SCIP solver. This study marks the first integration and evaluation of MRENS in a full-fledged MILP solver, specifically coupled with the recently-introduced Lagromory separator for generating multiple reference solutions. Computational experiments on the MIPLIB 2017 benchmark set show that MRENS, with multiple reference solutions, improves the solver's ability to find higher-quality feasible solutions compared to single-reference approaches. This study highlights the potential of multi-reference heuristics in enhancing primal heuristics in MILP solvers.
title A Multi-Reference Relaxation Enforced Neighborhood Search Heuristic in SCIP
topic Optimization and Control
Mathematical Software
90-08, 90C11, 90C57, 90C59,
url https://arxiv.org/abs/2408.00718