Heuristics for the Max-cut and QUBO combinatorial optimization problems
Project description
Python interface to the MQLib, a C++ library of heuristics for Max-Cut and Quadratic Unconstrained Binary Optimization (QUBO). Also includes a hyperheuristic, which uses machine learning to predict the best-performing heuristic for a given problem instance and then runs that heuristic.
This library and the related systematic heuristic evaluation strategy are described in the paper. To cite the MQLib, please use:
@article{DunningEtAl2018,
title={What Works Best When? A Systematic Evaluation of Heuristics for Max-Cut and {QUBO}},
author={Dunning, Iain and Gupta, Swati and Silberholz, John},
year={2018},
journal={{INFORMS} Journal on Computing},
volume={30},
number={3}
}
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