tag:joss.theoj.org,2005:/papers/tagged/optimization?page=3Journal of Open Source Software2023-04-22T14:43:24ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/39192023-04-22T14:43:24Z2023-04-23T13:30:52ZLinopy: Linear optimization with n-dimensional labeled variablesacceptedv0.0.112022-09-23 08:19:50 UTC842023-04-22 14:43:24 UTC820234823FabianHofmannDepartment of Digital Transformation in Energy Systems, Technical University of Berlin0000-0002-6604-545010.21105/joss.04823https://doi.org/10.5281/zenodo.7751989Python, Jupyter Notebook, Juliahttps://joss.theoj.org/papers/10.21105/joss.04823.pdfpython, linear optimizationtag:joss.theoj.org,2005:Paper/41442023-04-20T14:54:21Z2023-04-21T00:03:22ZRxInfer: A Julia package for reactive real-time Bayesian inferenceacceptedv2.4.12023-01-03 13:07:23 UTC842023-04-20 14:54:21 UTC820235161DmitryBagaevTechnical University of Eindhoven0000-0001-9655-7986AlbertPodusenkoTechnical University of Eindhoven0000-0003-0515-0465Bertde VriesTechnical University of Eindhoven0000-0003-0839-174X10.21105/joss.05161https://doi.org/10.5281/zenodo.7774921Jupyter Notebook, Juliahttps://joss.theoj.org/papers/10.21105/joss.05161.pdfstatistics, Bayesian inference, variational optimization, message passingtag:joss.theoj.org,2005:Paper/35992023-02-03T19:16:38Z2023-02-04T00:00:45ZParMOO: A Python library for parallel multiobjective simulation optimizationacceptedv0.1.02022-05-13 00:36:38 UTC822023-02-03 19:16:38 UTC820234468TylerH.ChangMathematics and Computer Science Division, Argonne National Laboratory, USA0000-0001-9541-7041StefanM.WildApplied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, USA, Mathematics and Computer Science Division, Argonne National Laboratory, USA, NAISE, Northwestern University, USA0000-0002-6099-277210.21105/joss.04468https://doi.org/10.5281/zenodo.7600559Pythonhttps://joss.theoj.org/papers/10.21105/joss.04468.pdfnumerical optimization, multiobjective optimization, response surface methodology, parallel simulationstag:joss.theoj.org,2005:Paper/38502022-12-16T19:00:02Z2022-12-17T00:01:07ZPDENLPModels.jl: An NLPModel API for Optimization Problems with PDE-Constraintsacceptedv0.3.22022-08-31 15:04:48 UTC802022-12-16 19:00:02 UTC720224736TangiMigotGERAD and Department of Mathematics and Industrial Engineering, Polytechnique Montréal, QC, Canada.0000-0001-7729-2513DominiqueOrbanGERAD and Department of Mathematics and Industrial Engineering, Polytechnique Montréal, QC, Canada.0000-0002-8017-7687AbelSoaresSiqueiraNetherlands eScience Center, Amsterdam, NL0000-0003-4451-281X10.21105/joss.04736https://doi.org/10.5281/zenodo.7447623Juliahttps://joss.theoj.org/papers/10.21105/joss.04736.pdfnonlinear optimization, large-scale optimization, constrained optimization, nonlinear programming, PDE-constrained optimizationtag:joss.theoj.org,2005:Paper/39312022-12-15T20:20:06Z2022-12-16T00:00:57ZEnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibrationacceptedv0.13.02022-09-30 23:33:10 UTC802022-12-15 20:20:06 UTC720224869OliverR. a.DunbarDivision of Geological and Planetary Sciences, California Institute of Technology0000-0001-7374-0382IgnacioLopez-GomezDivision of Geological and Planetary Sciences, California Institute of Technology0000-0002-7255-5895AlfredoGarbuno-IñigoDepartment of Statistics, Mexico Autonomous Institute of Technology0000-0003-3279-619XDanielZhengyuHuangDivision of Geological and Planetary Sciences, California Institute of Technology0000-0001-6072-9352EviatarBachDivision of Geological and Planetary Sciences, California Institute of Technology0000-0002-9725-0203Jin-longWuDepartment of Mechanical Engineering, University of Wisconsin-Madison0000-0001-7438-422810.21105/joss.04869https://doi.org/10.5281/zenodo.7407193Juliahttps://joss.theoj.org/papers/10.21105/joss.04869.pdfjulia, optimization, bayesian, data assimilationtag:joss.theoj.org,2005:Paper/32352022-11-11T22:07:21Z2022-11-12T00:00:47ZDataAssimilationBenchmarks.jl: a data assimilation research framework.acceptedv0.2.02021-12-03 00:04:43 UTC792022-11-11 22:07:21 UTC720224129ColinGrudzienCW3E - Scripps Institution of Oceanography, University of California, San Diego, USA, Department of Mathematics and Statistics, University of Nevada, Reno, USA0000-0002-3084-3178CharlotteMerchantCW3E - Scripps Institution of Oceanography, University of California, San Diego, USA, Department of Computer Science, Princeton University, USASukhreenSandhuDepartment of Computer Science and Engineering, University of Nevada, Reno, USA10.21105/joss.04129https://doi.org/10.5281/zenodo.7311847Julia, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04129.pdfData Assimilation, Bayesian Inference, Optimization, Machine learningtag:joss.theoj.org,2005:Paper/38062022-11-02T01:53:43Z2022-11-03T00:01:26ZQMKPy: A Python Testbed for the Quadratic Multiple Knapsack Problemacceptedv1.1.02022-08-08 12:29:05 UTC792022-11-02 01:53:43 UTC720224718Karl-LudwigBesserInstitute for Communications Technology, Technische Universität Braunschweig, Germany0000-0002-1597-8963EduardA.JorswieckInstitute for Communications Technology, Technische Universität Braunschweig, Germany0000-0001-7893-843510.21105/joss.04718https://doi.org/10.5281/zenodo.7249626Pythonhttps://joss.theoj.org/papers/10.21105/joss.04718.pdfknapsack problems, QMKP, operations research, combinatorial 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/34392022-10-25T12:33:55Z2022-10-26T00:00:28ZPyCUTEst: an open source Python package of optimization test problemsaccepted1.22022-03-24 11:27:35 UTC782022-10-25 12:33:55 UTC720224377JaroslavFowkesScience and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Campus, Didcot, Oxfordshire, OX11 0QX, UKLindonRobertsMathematical Sciences Institute, Building 145, Science Road, Australian National University, Canberra ACT 2601, Australia, School of Mathematics and Statistics, Carslaw Building, University of Sydney, Camperdown NSW 2006, AustraliaÁrpádBűrmenFaculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, SI-1000 Ljubljana, Slovenia10.21105/joss.04377https://doi.org/10.5281/zenodo.7244291Pythonhttps://joss.theoj.org/papers/10.21105/joss.04377.pdfoptimizationtag:joss.theoj.org,2005:Paper/22202022-10-17T12:29:49Z2022-10-18T00:00:50ZMoead-framework: a modular MOEA/D Python frameworkaccepted0.5.7.12020-12-07 16:26:25 UTC782022-10-17 12:29:49 UTC720222974GeoffreyPruvostUniv. Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, FranceBilelDerbelUniv. Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, FranceArnaudLiefoogheUniv. Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France10.21105/joss.02974https://doi.org/10.5281/zenodo.7152178Python, Witcher Scripthttps://joss.theoj.org/papers/10.21105/joss.02974.pdfoptimization, Multi-objective, moead, framework