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@article{boltzmann1868studien,
title={Studien über das {G}leichgewicht der lebendigen {K}raft zwischen bewegten materiellen {P}unkten},
author={Boltzmann, Ludwig},
journal={Wiener Berichte},
volume={58},
pages={517--560},
year={1868}
}
@article{bayraktar2013wind,
title={The wind driven optimization technique and its application in electromagnetics},
author={Bayraktar, Zikri and Komurcu, Muge and Bossard, Jeremy A and Werner, Douglas H},
journal={IEEE transactions on antennas and propagation},
volume={61},
number={5},
pages={2745--2757},
year={2013},
publisher={IEEE},
doi={10.1109/TAP.2013.2238654}
}
@misc{hansen2019pycma,
author = {Nikolaus Hansen and Youhei Akimoto and Petr Baudis},
title = {{CMA-ES/pycma} on {G}it{H}ub},
howpublished = {Zenodo, DOI:10.5281/zenodo.2559634},
month = feb,
year = 2019,
doi = {10.5281/zenodo.2559634},
url = {10.5281/zenodo.2559634},
}
@inproceedings{hansen1996adapting,
title={Adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation},
author={Hansen, Nikolaus and Ostermeier, Andreas},
booktitle={Proceedings of IEEE international conference on evolutionary computation},
pages={312--317},
year={1996},
organization={IEEE},
doi={10.1109/ICEC.1996.542381}
}
@article{colutto2009cma,
title={The CMA-ES on {R}iemannian manifolds to reconstruct shapes in 3-D voxel images},
author={Colutto, Sebastian and Fruhauf, Florian and Fuchs, Matthias and Scherzer, Otmar},
journal={IEEE Transactions on Evolutionary Computation},
volume={14},
number={2},
pages={227--245},
year={2009},
doi={10.1109/TEVC.2009.2029567},
publisher={IEEE}
}
@inproceedings{kennedy1995particle,
title={Particle swarm optimization},
author={Kennedy, James and Eberhart, Russell},
booktitle={Proceedings of ICNN'95-international conference on neural networks},
volume={4},
pages={1942--1948},
year={1995},
organization={IEEE},
doi={10.1109/ICNN.1995.488968}
}
@article{henderson2003theory,
title={The theory and practice of simulated annealing},
author={Henderson, Darrall and Jacobson, Sheldon H and Johnson, Alan W},
journal={Handbook of metaheuristics},
pages={287--319},
year={2003},
publisher={Springer},
doi={10.1007/0-306-48056-5_10}
}
@article{rastrigin1963convergence,
title={The convergence of the random search method in the extremal control of a many parameter system},
author={Rastrigin, LA},
journal={Automaton \& Remote Control},
volume={24},
pages={1337--1342},
year={1963}
}
@article{friedman1947planning,
title={Planning experiments seeking maxima},
author={Friedman, Milton and Savage, Lo J},
journal={Techniques of statistical analysis},
pages={365--372},
year={1947},
publisher={McGraw-Hill: NY}
}
@article{hooke1961direct,
title={``Direct Search'' Solution of Numerical and Statistical Problems},
author={Hooke, Robert and Jeeves, Terry A},
journal={Journal of the ACM (JACM)},
volume={8},
number={2},
pages={212--229},
year={1961},
publisher={ACM New York, NY, USA},
doi={10.1145/321062.321069}
}
@online{fornasier2021consensus,
author = {Fornasier, Massimo and Klock, Timo and Riedl, Konstantin},
title = {Consensus-based optimization methods converge globally},
eprint = {2103.15130},
eprinttype = {arXiv},
year = {2021},
doi = {10.48550/arXiv.2103.15130}
}
@incollection{totzeck2021trends,
title={Trends in consensus-based optimization},
author={Totzeck, Claudia},
booktitle={Active Particles, Volume 3: Advances in Theory, Models, and Applications},
pages={201--226},
year={2021},
publisher={Springer},
doi = {10.1007/978-3-030-93302-9_6}
}
@Article{carrillo2022consensus,
author = {Carrillo, J A and Hoffmann, Franca and Stuart, Andrew M and Vaes, Urbain},
title = {Consensus-based sampling},
number = {3},
pages = {1069--1140},
volume = {148},
journal = {Studies in Applied Mathematics},
publisher = {Wiley Online Library},
year = {2022},
doi = {10.1111/sapm.12470}
}
@Article{harris2020array,
author = {Charles R. Harris and K. Jarrod Millman and St{\'{e}}fan J. van der Walt and Ralf Gommers and Pauli Virtanen and David Cournapeau and Eric Wieser and Julian Taylor and Sebastian Berg and Nathaniel J. Smith and Robert Kern and Matti Picus and Stephan Hoyer and Marten H. van Kerkwijk and Matthew Brett and Allan Haldane and Jaime Fern{\'{a}}ndez del R{\'{i}}o and Mark Wiebe and Pearu Peterson and Pierre G{\'{e}}rard-Marchant and Kevin Sheppard and Tyler Reddy and Warren Weckesser and Hameer Abbasi and Christoph Gohlke and Travis E. Oliphant},
title = {Array programming with {NumPy}},
doi = {10.1038/s41586-020-2649-2},
number = {7825},
pages = {357--362},
volume = {585},
journal = {Nature},
month = sep,
publisher = {Springer Science and Business Media {LLC}},
year = {2020},
}
@Article{2020SciPy-NMeth,
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 and {SciPy 1.0 Contributors}},
title = {{{SciPy} 1.0: Fundamental Algorithms for Scientific Computing in {P}ython}},
doi = {10.1038/s41592-019-0686-2},
pages = {261--272},
volume = {17},
adsurl = {https://rdcu.be/b08Wh},
journal = {Nature Methods},
year = {2020},
}
@Article{Hunter_2007,
author = {Hunter, J. D.},
title = {Matplotlib: A 2D graphics environment},
doi = {10.1109/MCSE.2007.55},
number = {3},
pages = {90--95},
volume = {9},
abstract = {Matplotlib is a 2D graphics package used for {P}ython for
application development, interactive scripting, and publication-quality
image generation across user interfaces and operating systems.},
journal = {Computing in Science \& Engineering},
publisher = {IEEE COMPUTER SOC},
year = {2007},
}
@Misc{gpyopt2016,
author = {{The GPyOpt authors}},
title = {GPyOpt: A {B}ayesian Optimization framework in {P}ython},
howpublished = {\url{http://github.com/SheffieldML/GPyOpt}},
year = {2016}
}
@inproceedings{balandat2020botorch,
title={BoTorch: A Framework for Efficient {M}onte-{C}arlo {B}ayesian Optimization},
author={Balandat, Maximilian and Karrer, Brian and Jiang, Daniel R. and Daulton, Samuel and Letham, Benjamin and Wilson, Andrew Gordon and Bakshy, Eytan},
booktitle = {Advances in Neural Information Processing Systems 33},
year={2020},
url = {http://arxiv.org/abs/1910.06403}
}
@online{GPflowOpt2017,
author = {Knudde, Nicolas and {van der Herten}, Joachim and Dhaene, Tom and Couckuyt, Ivo},
title = "{GPflowOpt: A {B}ayesian Optimization Library using TensorFlow}",
eprint = {1711.03845},
eprinttype = {arXiv},
year = {2017},
url = {https://arxiv.org/abs/1711.03845},
doi = {10.48550/arXiv.1711.03845}
}
@article{Jiménez2017,
doi = {10.21105/joss.00431},
url = {10.21105/joss.00431},
year = {2017},
publisher = {The Open Journal},
volume = {2}, number = {19},
pages = {431},
author = {José Jiménez and Josep Ginebra},
title = {pyGPGO: {B}ayesian Optimization for {P}ython},
journal = {Journal of Open Source Software} }
@Misc{Bayesian14,
author = {Fernando Nogueira},
title = {{Bayesian Optimization}: Open source constrained global optimization tool for {Python}},
year = {2014–},
url = " https://github.com/bayesian-optimization/BayesianOptimization"
}
@software{scikitopt,
author = {Guo, Fei},
title = {{scikit-opt}},
url = {https://github.com/guofei9987/scikit-opt},
year = {2021},
}
@Article{Kim2023,
author = {Jungtaek Kim and Seungjin Choi},
title = {BayesO: A {B}ayesian optimization framework in {P}ython},
doi = {10.21105/joss.05320},
number = {90},
pages = {5320},
volume = {8},
journal = {Journal of Open Source Software},
publisher = {The Open Journal},
year = {2023},
}
@Article{deapJMLR2012,
author = {F\'elix-Antoine Fortin and Fran\c{c}ois-Michel {De Rainville} and Marc-Andr\'e Gardner and Marc Parizeau and Christian Gagn\'e},
title = {{DEAP}: Evolutionary Algorithms Made Easy},
pages = {2171--2175},
volume = {13},
journal = {Journal of Machine Learning Research},
month = {7},
year = {2012},
}
@Misc{pagmo2017,
author = {Francesco Biscani and Dario Izzo and Marcus M\"{a}rtens},
title = {esa/pagmo2: pagmo 2.6},
doi = {10.5281/zenodo.1054110},
month = {11},
year = {2017},
}
@software{Igor_CBOinPython,
author = {Tukh, Igor and Riedl, Konstantin},
title = {{CBO-in-python}},
url = {https://github.com/Igor-Tukh/cbo-in-python},
version = {1.0},
year = {2022}
}
@software{Roith_polarcbo,
author = {Roith, Tim and Bungert, Leon and Wacker, Philipp},
title = {{polarcbo}},
url = {https://github.com/PdIPS/polarcbo},
version = {1.0.1},
year = {2023}
}
@online{duan2023pypop7,
title={PyPop7: A Pure-{P}ython Library for Population-Based Black-Box Optimization},
author={Duan, Qiqi and Zhou, Guochen and Shao, Chang and Wang, Zhuowei and Feng, Mingyang and Yang, Yijun and Zhao, Qi and Shi, Yuhui},
eprint={2212.05652},
eprinttype={arXiv},
year={2022},
doi={10.48550/arXiv.2212.05652}
}
@ARTICLE{bungert2022polarized,
title = "Polarized consensus-based dynamics for optimization and sampling",
author = "Bungert, Leon and Roith, Tim and Wacker, Philipp",
journal = "Math. Program.",
publisher = "Springer Science and Business Media LLC",
month = may,
year = 2024,
doi = {10.1007/s10107-024-02095-y}
}
@Article{Bergmann2022,
author = {Ronny Bergmann},
title = {Manopt.jl: Optimization on Manifolds in {J}ulia},
doi = {10.21105/joss.03866},
number = {70},
pages = {3866},
volume = {7},
journal = {Journal of Open Source Software},
publisher = {The Open Journal},
year = {2022},
}
@software{Bailo_consensus,
author = {Bailo, Rafael},
title = {{Consensus.jl}},
url = {https://github.com/rafaelbailo/Consensus.jl},
version = {1.0.0},
year = {2023},
doi = {10.5281/zenodo.7754236},
}
@article{Singh2024,
doi = {10.21105/joss.05694},
url = {10.21105/joss.05694},
year = {2024}, publisher = {The Open Journal},
volume = {9}, number = {94}, pages = {5694},
author = {Gurjeet Sangra Singh and Luigi Acerbi},
title = {PyBADS: Fast and robust black-box optimization in {P}ython},
journal = {Journal of Open Source Software}
}
@Article{carrillo2018analytical,
author = {Carrillo, J A and Choi, Young-Pil and Totzeck, Claudia and Tse, Oliver},
title = {An analytical framework for consensus-based global optimization method},
doi = {10.1142/S0218202518500276},
issn = {0218-2025},
number = {6},
pages = {1037--1066},
volume = {28},
journal = {Mathematical Models and Methods in Applied Sciences},
mrclass = {90C26 (35Q84 37N40 60H10 90C59)},
mrnumber = {3804923},
year = {2018},
}
@article{paszke2019pytorch,
title={Pytorch: An imperative style, high-performance deep learning library},
author={Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and others},
journal={Advances in neural information processing systems},
volume={32},
year={2019}
}
@Article{riedl2022leveraging,
author = {Riedl, Konstantin},
title = {Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law},
doi = {10.1017/S0956792523000293},
pages = {1–32},
journal = {European Journal of Applied Mathematics},
publisher = {Cambridge University Press},
year = {2023},
}
@article{qiu2022PSOconvergence,
title={On the global convergence of particle swarm optimization methods},
author={Huang, Hui and Qiu, Jinniao and Riedl, Konstantin},
journal={Applied Mathematics \& Optimization},
volume={88},
number={2},
pages={30},
year={2023},
publisher={Springer},
doi = {10.1007/s00245-023-09983-3}
}
@Article{grassi2020particle,
author = {Grassi, Sara and Pareschi, Lorenzo},
title = {From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit},
doi = {10.1142/S0218202521500342},
issn = {0218-2025},
number = {8},
pages = {1625--1657},
volume = {31},
journal = {Mathematical Models and Methods in Applied Sciences},
mrclass = {35Q83 (65K10 65M75 82C40)},
mrnumber = {4307005},
year = {2021},
}
@online{riedl2023gradient,
title={Gradient is All You Need?},
author={Riedl, Konstantin and Klock, Timo and Geldhauser, Carina and Fornasier, Massimo},
eprint={2306.09778},
eprinttype = {arXiv},
year={2023},
doi={10.48550/arXiv.2306.09778}
}
@online{carrillo2023fedcbo,
title={FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization},
author={Carrillo, J A and Garcia Trillos, Nicolas and Li, Sixu and Zhu, Yuhua},
eprint={2305.02894},
eprinttype={arXiv},
year={2023},
doi={10.48550/arXiv.2305.02894}
}
@article{borghi2022adaptive,
title={An adaptive consensus based method for multi-objective optimization with uniform {P}areto front approximation},
author={Borghi, Giacomo and Herty, Michael and Pareschi, Lorenzo},
journal={Applied Mathematics \& Optimization},
volume={88},
number={2},
pages={1--43},
year={2023},
publisher={Springer},
doi={10.1007/s00245-023-10036-y}
}
@article{fornasier2020consensus_sphere_convergence,
AUTHOR = {Fornasier, Massimo and Huang, Hui and Pareschi, Lorenzo and
S\"{u}nnen, Philippe},
TITLE = {Consensus-based optimization on the sphere: convergence to
global minimizers and machine learning},
JOURNAL = {Journal of Machine Learning Research (JMLR)},
VOLUME = {22},
YEAR = {2021},
PAGES = {Paper No. 237, 55},
ISSN = {1532-4435},
MRCLASS = {90C56 (65K10 90C59)},
MRNUMBER = {4329816},
MRREVIEWER = {Ctirad Matonoha},
}
@Article{borghi2021constrained,
author = {Borghi, Giacomo and Herty, Michael and Pareschi, Lorenzo},
title = {Constrained consensus-based optimization},
number = {1},
pages = {211--236},
volume = {33},
journal = {SIAM Journal on Optimization},
publisher = {SIAM},
doi = {10.1137/22M1471304},
year = {2023},
}
@article{huang2021MFLCBO,
AUTHOR = {Huang, Hui and Qiu, Jinniao},
TITLE = {On the mean-field limit for the consensus-based optimization},
JOURNAL = {Mathematical Methods in the Applied Sciences},
VOLUME = {45},
YEAR = {2022},
NUMBER = {12},
PAGES = {7814--7831},
ISSN = {0170-4214},
MRCLASS = {60K35 (34F05 35Q70 35Q84 60B10 68W50 90C26 90C59)},
MRNUMBER = {4456068},
doi = {10.1002/mma.8279}
}
@article{huang2022consensus,
author = {Huang, Hui and Qiu, Jinniao and Riedl, Konstantin},
title = {Consensus-Based Optimization for Saddle Point Problems},
journal = {SIAM Journal on Control and Optimization},
volume = {62},
number = {2},
pages = {1093-1121},
year = {2024},
doi = {10.1137/22M1543367},
}
@article{fornasier2023consensus,
title={Consensus-based optimisation with truncated noise},
DOI={10.1017/S095679252400007X},
journal={European Journal of Applied Mathematics},
author={Fornasier, Massimo and Richtárik, Peter and Riedl, Konstantin and Sun, Lukang},
year={2024},
pages={1–24}}
@book{dembo1998large,
title={Large deviations techniques and applications},
author={Dembo, Amir and Zeitouni, Ofer},
publisher={Applications of Mathematics, Springer},
volume={38},
year={1998},
doi={10.1007/978-3-642-03311-7}
}
@online{althaus2023consensus,
title={Consensus-based rare event estimation},
author={Althaus, Konstantin and Papaioannou, Iason and Ullmann, Elisabeth},
eprint={2304.09077},
eprinttype={arXiv},
year={2023},
doi={10.48550/arXiv.2304.09077}
}
@Misc{DR2023,
author = {Dixit, Vaibhav Kumar and Rackauckas, Christopher},
date = {2023},
title = {Optimization.jl: A Unified Optimization Package},
doi = {10.5281/ZENODO.7738525},
copyright = {Creative Commons Attribution 4.0 International},
publisher = {Zenodo},
}
@Book{KP1992,
author = {Kloeden, Peter E. and Platen, Eckhard},
date = {1992},
title = {Numerical Solution of Stochastic Differential Equations},
doi = {10.1007/978-3-662-12616-5},
isbn = {9783662126165},
publisher = {Springer Berlin Heidelberg},
}
@Article{pinnau2017consensus,
author = {Pinnau, Ren{\'e} and Totzeck, Claudia and Tse, Oliver and Martin, Stephan},
date = {2017-01},
title = {A consensus-based model for global optimization and its mean-field limit},
doi = {10.1142/s0218202517400061},
issn = {1793-6314},
number = {01},
pages = {183--204},
volume = {27},
journal = {Mathematical Models and Methods in Applied Sciences},
publisher = {World Scientific},
year = {2017},
}
@InBook{movckus1975bayesian,
author = {Močkus, J.},
booktitle = {Optimization Techniques IFIP Technical Conference},
date = {1975},
title = {On {B}ayesian Methods for Seeking the Extremum},
doi = {10.1007/978-3-662-38527-2_55},
isbn = {9783662385272},
pages = {400--404},
publisher = {Springer Berlin Heidelberg},
organization = {Springer},
year = {1975},
}
@Article{mohan2012survey,
author = {Chandra Mohan, B. and Baskaran, R.},
date = {2012-03},
title = {A survey: Ant Colony Optimization based recent research and implementation on several engineering domain},
doi = {10.1016/j.eswa.2011.09.076},
issn = {0957-4174},
number = {4},
pages = {4618--4627},
volume = {39},
journal = {Expert Systems with Applications},
publisher = {Elsevier BV},
year = {2012},
}
@Article{karaboga2014comprehensive,
author = {Karaboga, Dervis and Gorkemli, Beyza and Ozturk, Celal and Karaboga, Nurhan},
date = {2012-03},
title = {A comprehensive survey: artificial bee colony (ABC) algorithm and applications},
doi = {10.1007/s10462-012-9328-0},
issn = {1573-7462},
number = {1},
pages = {21--57},
volume = {42},
journal = {Artificial intelligence review},
publisher = {Springer},
year = {2014},
}
@InBook{yang2009firefly,
author = {Yang, Xin-She},
booktitle = {Lecture Notes in Computer Science},
date = {2009},
title = {Firefly algorithms for multimodal optimization},
doi = {10.1007/978-3-642-04944-6_14},
isbn = {9783642049446},
pages = {169--178},
publisher = {Springer Berlin Heidelberg},
issn = {1611-3349},
year = {2009},
}
@Book{ackley2012connectionist,
author = {Ackley, David H.},
date = {1987},
title = {A Connectionist Machine for Genetic Hillclimbing},
doi = {10.1007/978-1-4613-1997-9},
isbn = {9781461319979},
publisher = {Springer US},
volume = {28},
journal = {The Kluwer International Series in Engineering and Computer Science},
issn = {0893-3405},
year = {2012},
}
@Article{miranda2018pyswarms,
author = {Miranda, Lester James},
date = {2018-01},
journaltitle = {The Journal of Open Source Software},
title = {PySwarms: a research toolkit for Particle Swarm Optimization in {P}ython},
doi = {10.21105/joss.00433},
issn = {2475-9066},
number = {21},
pages = {433},
volume = {3},
journal = {Journal of Open Source Software},
publisher = {The Open Journal},
year = {2018},
}
@Article{mogensen2018optim,
author = {Mogensen, P and Riseth, A},
date = {2018-04},
journaltitle = {Journal of Open Source Software},
title = {Optim: A mathematical optimization package for {J}ulia},
doi = {10.21105/joss.00615},
issn = {2475-9066},
number = {24},
pages = {615},
volume = {3},
journal = {Journal of Open Source Software},
publisher = {The Open Journal},
year = {2018},
}
@Article{mejia2022metaheuristics,
author = {Mej{\'\i}a-de-Dios, Jes{\'u}s-Adolfo and Mezura-Montes, Efr{\'e}n},
date = {2022-10},
journaltitle = {Journal of Open Source Software},
title = {Metaheuristics: A {J}ulia package for single-and multi-objective optimization},
doi = {10.21105/joss.04723},
issn = {2475-9066},
number = {78},
pages = {4723},
volume = {7},
journal = {Journal of Open Source Software},
publisher = {The Open Journal},
year = {2022},
}
@Article{carrillo2021consensus,
author = {Carrillo, J A and Jin, Shi and Li, Lei and Zhu, Yuhua},
date = {2021},
journaltitle = {ESAIM: Control, Optimisation and Calculus of Variations},
title = {A consensus-based global optimization method for high dimensional machine learning problems},
doi = {10.1051/cocv/2020046},
issn = {1262-3377},
pages = {S5},
volume = {27},
journal = {ESAIM: Control, Optimisation and Calculus of Variations},
publisher = {EDP Sciences},
year = {2021},
}
@InProceedings{fornasier2021convergence,
author = {Fornasier, Massimo and Klock, Timo and Riedl, Konstantin},
booktitle = {Applications of Evolutionary Computation},
date = {2022},
title = {Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law},
doi = {10.1007/978-3-031-02462-7_46},
editor = {Jim{\'e}nez Laredo, Juan Luis and Hidalgo, J. Ignacio and Babaagba, Kehinde Oluwatoyin},
isbn = {978-3-031-02462-7},
pages = {738--754},
publisher = {Springer},
address = {Cham},
issn = {1611-3349},
year = {2022},
}
@Article{klamroth2022consensus,
author = {Klamroth, Kathrin and Stiglmayr, Michael and Totzeck, Claudia},
date = {2024-02},
title = {Consensus-based optimization for multi-objective problems: a multi-swarm approach},
doi = {10.1007/s10898-024-01369-1},
issn = {1573-2916},
journal = {Journal of Global Optimization},
publisher = {Springer Science and Business Media LLC},
}
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