@incollection{hurley_advanced_2016,
  address = {Cham},
  title = {Advanced {Portfolio} {Techniques}},
  isbn = {978-3-319-50137-6},
  url = {https://doi.org/10.1007/978-3-319-50137-6_8},
  abstract = {There exists a proliferation of different approaches to using portfolios and algorithm selection to make solving combinatorial search and optimisation problems more efficient, as surveyed in the previous chapter. In this chapter, we take a look at a detailed case study that leverages transformations between problem representations to make portfolios more effective, followed by extensions to the state of the art that make algorithm selection more robust in practice.},
  booktitle = {Data {Mining} and {Constraint} {Programming}: {Foundations} of a {Cross}-{Disciplinary} {Approach}},
  publisher = {Springer International Publishing},
  author = {Hurley, Barry and Kotthoff, Lars and Malitsky, Yuri and Mehta, Deepak and O'Sullivan, Barry},
  editor = {Bessiere, Christian and De Raedt, Luc and Kotthoff, Lars and Nijssen, Siegfried and O'Sullivan, Barry and Pedreschi, Dino},
  year = {2016},
  doi = {10.1007/978-3-319-50137-6_8},
  pages = {191--225}
}