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@article{engproc2023059238,
AUTHOR = {Tomar, Vinita and Bansal, Mamta and Singh, Pooja},
TITLE = {Metaheuristic Algorithms for Optimization: A Brief Review},
JOURNAL = {Engineering Proceedings},
VOLUME = {59},
YEAR = {2023},
NUMBER = {1},
ARTICLE-NUMBER = {238},
URL = {https://www.mdpi.com/2673-4591/59/1/238},
ISSN = {2673-4591},
DOI = {10.3390/engproc2023059238}
}
@article{Küderle2023,
doi = {10.21105/joss.04953},
url = {https://doi.org/10.21105/joss.04953},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {82},
pages = {4953},
author = {Küderle, Arne and Richer, Robert and Sîmpetru, Raul C. and Eskofier, Bjoern M.},
title = {tpcp: Tiny Pipelines for Complex Problems - A set of framework independent helpers for algorithms development and evaluation},
journal = {Journal of Open Source Software}
}
@misc{snoek2012practicalbayesianoptimizationmachine,
title={Practical Bayesian Optimization of Machine Learning Algorithms},
author={Jasper Snoek and Hugo Larochelle and Ryan P. Adams},
year={2012},
eprint={1206.2944},
archivePrefix={arXiv},
primaryClass={stat.ML},
url={https://arxiv.org/abs/1206.2944},
}
@article{pedregosa2011scikit,
title = {Scikit-learn: Machine Learning in {P}ython},
author = {Pedregosa, Fabian and Varoquaux, Ga{\"e}l and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and Vanderplas, Jake and Passos, Alexandre and Cournapeau, David and Brucher, Matthieu and Perrot, Matthieu and Duchesnay, {\'E}douard},
journal = {Journal of Machine Learning Research},
year = {2011},
volume = {12},
pages = {2825--2830},
url = {http://jmlr.org/papers/v12/pedregosa11a.html}
}
@article{harris2020numpy,
title = {Array programming with {NumPy}},
author = {Harris, Charles R. and Millman, K. Jarrod and van der Walt, St{\'e}fan J. and Gommers, Ralf and Virtanen, Pauli and Cournapeau, David and Wieser, Eric and Taylor, Julian and Berg, Sebastian and Smith, Nathaniel J. and Kern, Robert and Picus, Matti and Hoyer, Stephan and van Kerkwijk, Marten H. and Brett, Matthew and Haldane, Allan and del R{\'i}o, Jaime Fern{\'a}ndez and Wiebe, Mark and Peterson, Pearu and G{\'e}rard-Marchant, Pierre and Sheppard, Kevin and Reddy, Tyler and Weckesser, Warren and Abbasi, Hameer and Gohlke, Christoph and Oliphant, Travis E.},
journal = {Nature},
year = {2020},
volume = {585},
number = {7825},
pages = {357--362},
doi = {10.1038/s41586-020-2649-2}
}
@article{virtanen2020scipy,
title = {{SciPy} 1.0: Fundamental Algorithms for Scientific Computing in {Python}},
author = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and van der Walt, St{\'e}fan J. and Brett, Matthew and Wilson, Joshua and Millman, K. Jarrod and Mayorov, Nikolay and Nelson, Andrew R. J. and Jones, Eric and Kern, Robert and Larson, Eric and Carey, C. J. and Polat, {\.I}lhan and Feng, Yu and Moore, Eric W. and VanderPlas, Jake and Laxalde, Denis and Perktold, Josef and Cimrman, Robert and Henriksen, Ian and Quintero, E. A. and Harris, Charles R. and Archibald, Anne M. and Ribeiro, Ant{\^o}nio H. and Pedregosa, Fabian and van Mulbregt, Paul},
journal = {Nature Methods},
year = {2020},
volume = {17},
number = {3},
pages = {261--272},
doi = {10.1038/s41592-019-0686-2}
}
@article{shahriari2016bayesianoptimization,
title = {Taking the Human Out of the Loop: A Review of {Bayesian} Optimization},
author = {Shahriari, Bobak and Swersky, Kevin and Wang, Ziyu and Adams, Ryan P. and de Freitas, Nando},
journal = {Proceedings of the IEEE},
year = {2016},
volume = {104},
number = {1},
pages = {148--175},
doi = {10.1109/JPROC.2015.2494218}
}
@book{rasmussen2006gaussianprocesses,
title = {Gaussian Processes for Machine Learning},
author = {Rasmussen, Carl Edward and Williams, Christopher K. I.},
year = {2006},
publisher = {MIT Press},
url = {http://www.gaussianprocess.org/gpml/}
}
@article{dorigo1997antcolony,
title = {Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem},
author = {Dorigo, Marco and Gambardella, Luca Maria},
journal = {IEEE Transactions on Evolutionary Computation},
year = {1997},
volume = {1},
number = {1},
pages = {53--66},
doi = {10.1109/4235.585892}
}
@article{kirkpatrick1983simulatedannealing,
title = {Optimization by Simulated Annealing},
author = {Kirkpatrick, Scott and Gelatt, C. Daniel and Vecchi, Mario P.},
journal = {Science},
year = {1983},
volume = {220},
number = {4598},
pages = {671--680},
doi = {10.1126/science.220.4598.671}
}
@inproceedings{kennedy1995pso,
title = {Particle Swarm Optimization},
author = {Kennedy, James and Eberhart, Russell},
booktitle = {Proceedings of the {IEEE} International Conference on Neural Networks},
year = {1995},
pages = {1942--1948},
doi = {10.1109/ICNN.1995.488968}
}
@book{holland1975adaptation,
title = {Adaptation in Natural and Artificial Systems},
author = {Holland, John H.},
year = {1975},
publisher = {University of Michigan Press}
}
@article{kahn1962topsort,
title = {Topological Sorting of Large Networks},
author = {Kahn, Arthur B.},
journal = {Communications of the ACM},
year = {1962},
volume = {5},
number = {11},
pages = {558--562},
doi = {10.1145/368996.369025}
}
@article{gansner2000graphviz,
title = {An Open Graph Visualization System and Its Applications to Software Engineering},
author = {Gansner, Emden R. and North, Stephen C.},
journal = {Software: Practice and Experience},
year = {2000},
volume = {30},
number = {11},
pages = {1203--1233},
doi = {10.1002/1097-024X(200009)30:11<1203::AID-SPE338>3.0.CO;2-N}
}
@article{vanderwalt2014scikitimage,
title = {scikit-image: Image Processing in {Python}},
author = {van der Walt, St{\'e}fan and Sch{\"o}nberger, Johannes L. and Nunez-Iglesias, Juan and Boulogne, Fran{\c{c}}ois and Warner, Joshua D. and Yager, Neil and Gouillart, Emmanuelle and Yu, Tony and the scikit-image contributors},
journal = {PeerJ},
year = {2014},
volume = {2},
pages = {e453},
doi = {10.7717/peerj.453}
}
@misc{airflow,
title = {Apache Airflow},
url = {https://airflow.apache.org/},
note = {Accessed: 2025-12-21},
urldate = {2025-12-21}
}
@misc{prefect,
title = {Prefect},
url = {https://www.prefect.io/},
note = {Accessed: 2025-12-21},
urldate = {2025-12-21}
}
@article{Kim2023_BayesO,
doi = {10.21105/joss.05320},
url = {https://doi.org/10.21105/joss.05320},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {90},
pages = {5320},
author = {Kim, Jungtaek and Choi, Seungjin},
title = {BayesO: A Bayesian optimization framework in Python},
journal = {Journal of Open Source Software}
}
@article{Hofmann2023_Linopy,
doi = {10.21105/joss.04823},
url = {https://doi.org/10.21105/joss.04823},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {84},
pages = {4823},
author = {Hofmann, Fabian},
title = {Linopy: Linear optimization with n-dimensional labeled variables},
journal = {Journal of Open Source Software}
}
@article{Pecnik2021_NiaAML,
doi = {10.21105/joss.02949},
url = {https://doi.org/10.21105/joss.02949},
year = {2021},
publisher = {The Open Journal},
volume = {6},
number = {61},
pages = {2949},
author = {Pe{\v{c}}nik, Luka and Fister, Iztok},
title = {NiaAML: AutoML framework based on stochastic population-based nature-inspired algorithms},
journal = {Journal of Open Source Software}
}
@article{Jimenez2017_pyGPGO,
doi = {10.21105/joss.00431},
url = {https://doi.org/10.21105/joss.00431},
year = {2017},
publisher = {The Open Journal},
volume = {2},
number = {19},
pages = {431},
author = {Jim{\'e}nez, Jos{\'e} and Ginebra, Josep},
title = {pyGPGO: Bayesian Optimization for Python},
journal = {Journal of Open Source Software}
}