@inproceedings{FreEtAl16,
  author    = {Alexandre Fr{\'{e}}chette and
               Lars Kotthoff and
               Tomasz P. Michalak and
               Talal Rahwan and
               Holger H. Hoos and
               Kevin Leyton{-}Brown},
  xeditor    = {Dale Schuurmans and
               Michael P. Wellman},
  title     = {Using the {Shapley} Value to Analyze Algorithm Portfolios},
  booktitle = {Proceedings of the 30th {AAAI} Conference on Artificial Intelligence (AAAI-16)},
  pages     = {3397--3403},
  publisher = {{AAAI} Press},
  year      = {2016},
  url       = {http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/12495},
  tags = {empirical algorithmics, AI, algorithm selection, SAT, machine learning},
}

@article{Hoos12,
  author    = {Holger H. Hoos},
  cauthor    = {H. H. Hoos},
  title     = {Programming by {Optimization}},
  journal   = {Communications of the ACM},
  volume    = 55,
  number    = 2,
  pages     = {70--80},
  year      = 2012,
  url       = {http://doi.acm.org/10.1145/2076450.2076469},
  doi       = {10.1145/2076450.2076469},
  tags      = {comprehensive introduction to the PbO paradigm; the appendix contains the current description of the generic PbO programming language extension}
}

@techreport{Hoos15,
  author    = {Holger H. Hoos},
  title     = {{Sparkle}: A PbO-based Multi-agent Problem-solving Platform},
  institution = {Department of Computer Science, University of British Columbia},
  year      = {2015}
}

@article{blom22sparkle,
  author={van der Blom, Koen and Hoos, Holger H. and Luo, Chuan and Rook, Jeroen G.},
  journal={IEEE Transactions on Evolutionary Computation}, 
  title={Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems}, 
  year={2022},
  volume={26},
  number={6},
  pages={1351-1364},
  keywords={Benchmark testing;Optimization;Machine learning;Standards;Portfolios;Planning;Feature extraction;Algorithm configuration;algorithm selection;benchmarking;competitions;meta-algorithms;software tools},
  doi={10.1109/TEVC.2022.3215013}}

@inproceedings{XuEtAl12,
  author    = {Lin Xu and
               Frank Hutter and
               Holger Hoos and
               Kevin Leyton{-}Brown},
  cauthor    = {L. Xu and
               F. Hutter and
               H. Hoos and
               K. Leyton{-}Brown},
  editor    = {Alessandro Cimatti and
               Roberto Sebastiani},
  title     = {Evaluating Component Solver Contributions to Portfolio-Based Algorithm
               Selectors},
  booktitle = {Theory and Applications of Satisfiability Testing - {SAT} 2012 - 15th
               International Conference, Trento, Italy, June 17-20, 2012. Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = 7317,
  pages     = {228--241},
  publisher = {Springer},
  year      = 2012,
  url       = {https://doi.org/10.1007/978-3-642-31612-8_18},
  doi       = {10.1007/978-3-642-31612-8_18},
  tags      = {SATzilla, portfolio-based algorithm selection, performance evaluation, performance prediction, computer-aided algorithm design, AI, empirical algorithmics}
}

@article{FawcettHoos16,
  author    = {Chris Fawcett and
               Holger H. Hoos},
  title     = {Analysing differences between algorithm configurations through ablation},
  journal   = {J. Heuristics},
  volume    = {22},
  number    = {4},
  pages     = {431--458},
  year      = {2016},
  url       = {https://doi.org/10.1007/s10732-014-9275-9},
  doi       = {10.1007/s10732-014-9275-9},
  biburl    = {https://dblp.org/rec/journals/heuristics/FawcettH16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

HutEtAl11
@inproceedings{SMAC2,
    author = "Hutter, Frank and Hoos, Holger H. and Leyton-Brown, Kevin",
    title = "Sequential Model-Based Optimization for General Algorithm Configuration",
    booktitle = "Proceedings of the 5th International Conference on Learning and Intelligent Optimization (LION 5)",
    pages = "507--523",
    year = "2011",
    tags = "computer-aided algorithm design, algorithm configuration, parameter tuning, empirical algorithmics, AI"
}

LopezEtAl16
@Article{IRACE,
  title = {The irace package: Iterated Racing for Automatic Algorithm Configuration},
  author = {Manuel L{\'{o}}pez-Ib{\'{a}}{\~{n}}ez and J{\'{e}}r{\'{e}}mie Dubois-Lacoste and Leslie P{\'{e}}rez C{\'{a}}ceres and Thomas St{\"{u}}tzle and Mauro Birattari},
  year = {2016},
  journal = {Operations Research Perspectives},
  doi = {10.1016/j.orp.2016.09.002},
  volume = {3},
  pages = {43--58},
}

lindauer-jmlr22a
@article{SMAC3,
    author  = {Marius Lindauer and Katharina Eggensperger and Matthias Feurer and Andr{\'{e}} Biedenkapp and Difan Deng and Carolin Benjamins and Tim Ruhkopf and Ren{\'{e}} Sass and Frank Hutter},
    title   = {SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization},
    journal = {Journal of Machine Learning Research},
    year    = {2022},
    volume  = {23},
    number  = {54},
    pages   = {1--9},
    url     = {http://jmlr.org/papers/v23/21-0888.html}
}

@article{ParamILS,
    author = "Frank Hutter and Holger H. Hoos and Kevin Leyton-Brown and Thomas St{\"{u}}tzle",
    title = "ParamILS: An Automatic Algorithm Configuration Framework",
    journal="Journal of Artificial Intelligence Research",
    year = 2009,
    volume = 36,
    pages = "267--306",
    month = "October"
}
