tag:joss.theoj.org,2005:/papers/tagged/optimization%20algorithmsJournal of Open Source Software2023-06-28T09:40:55ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/43912023-06-28T09:40:55Z2023-06-29T00:01:29ZQAOA.jl: Toolkit for the Quantum and Mean-Field Approximate Optimization Algorithmsacceptedv1.0.02023-04-06 13:09:54 UTC862023-06-28 09:40:55 UTC820235364TimBodeInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, Germany0000-0001-8280-3891DmitryBagretsInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, Germany, Institute for Theoretical Physics, University of Cologne, 50937 Cologne, GermanyAditiMisra-SpieldennerTheoretical Physics, Saarland University, 66123 Saarbrücken, GermanyTobiasStollenwerkInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, GermanyFrankK.WilhelmInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, Germany, Theoretical Physics, Saarland University, 66123 Saarbrücken, Germany10.21105/joss.05364https://doi.org/10.5281/zenodo.8086187Juliahttps://joss.theoj.org/papers/10.21105/joss.05364.pdfquantum algorithms, automatic differentiation, optimizationtag:joss.theoj.org,2005:Paper/37232022-10-26T14:37:23Z2022-10-27T00:01:16ZMetaheuristics: A Julia Package for Single- and Multi-Objective Optimizationacceptedv3.2.92022-07-14 17:45:51 UTC782022-10-26 14:37:23 UTC720224723Jesús-AdolfoMejía-de-DiosArtificial Intelligence Research Institute, University of Veracruz, MEXICO0000-0002-0367-2967EfrénMezura-MontesArtificial Intelligence Research Institute, University of Veracruz, MEXICO0000-0002-1565-526710.21105/joss.04723https://doi.org/10.5281/zenodo.7239440Juliahttps://joss.theoj.org/papers/10.21105/joss.04723.pdfoptimization, multi-objective, metaheuristics, evolutionary algorithmstag:joss.theoj.org,2005:Paper/22412021-05-23T20:09:26Z2021-05-24T15:34:00ZNiaAML: AutoML framework based on stochastic population-based nature-inspired algorithmsaccepted1.1.02020-12-16 20:01:45 UTC612021-05-23 20:09:26 UTC620212949LukaPečnikUniversity of Maribor, Faculty of Electrical Engineering and Computer Science0000-0002-3897-9774IztokFisterUniversity of Maribor, Faculty of Electrical Engineering and Computer Science0000-0002-6418-127210.21105/joss.02949https://doi.org/10.5281/zenodo.4782445Pythonhttps://joss.theoj.org/papers/10.21105/joss.02949.pdfAutoML, classification, hyperparameter optimization, nature-inspired algorithmstag:joss.theoj.org,2005:Paper/2922018-01-11T01:43:33Z2021-02-15T11:33:52ZPySwarms: a research toolkit for Particle Swarm Optimization in Pythonacceptedv0.1.72017-10-07 10:19:37 UTC212018-01-11 01:43:33 UTC32018433LesterJamesMirandaWaseda University0000-0002-7872-646410.21105/joss.00433https://doi.org/10.5281/zenodo.1145432Pythonhttps://joss.theoj.org/papers/10.21105/joss.00433.pdfparticle swarm optimization, swarm intelligence, optimization algorithmstag:joss.theoj.org,2005:Paper/2292017-09-20T00:00:00Z2021-02-15T11:34:02ZmcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problemacceptedv1.0.02017-07-11 23:03:06 UTC172017-09-20 00:00:00 UTC22017374JakobBossekUniversity of Münster0000-0002-4121-466810.21105/joss.00374https://doi.org/10.5281/zenodo.894402Rhttps://joss.theoj.org/papers/10.21105/joss.00374.pdfcombinatorial optimization, evolutionary algorithms, multi-objective optimization