@article{181a52dac9cb4bd1a6db328f9868cee3,
title = "An improved cut-and-solve algorithm for the single-source capacitated facility location problem",
abstract = "In this paper, we present an improved cut-and-solve algorithm for the single-source capacitated facility location problem. The algorithm consists of three phases. The first phase strengthens the integer program by a cutting plane algorithm to obtain a tight lower bound. The second phase uses a two-level local branching heuristic to find an upper bound, and if optimality has not yet been established, the third phase uses the cut-and-solve framework to close the optimality gap. Extensive computational results are reported, showing that the proposed algorithm runs 10–80 times faster on average compared to state-of-the-art problem-specific algorithms.",
keywords = "Capacitated facility location, Cut-and-solve, Cutting planes, Facility location, KNAPSACK POLYTOPE, LAGRANGEAN RELAXATION, Local branching, OPTIMIZATION, PRICE ALGORITHM, SEARCH, SOURCE CONSTRAINTS, Single-sourcing",
author = "Gadegaard, \{Sune Lauth\} and Andreas Klose and Nielsen, \{Lars Relund\}",
year = "2018",
doi = "10.1007/s13675-017-0084-4",
language = "English",
volume = "6",
pages = "1--27",
journal = "EURO Journal on Computational Optimization",
issn = "2192-4406",
publisher = "Elsevier B.V.",
number = "1",
}