tag:joss.theoj.org,2005:/papers/tagged/robust%20optimizationJournal of Open Source Software2024-02-29T10:31:27ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/45382024-02-29T10:31:27Z2024-03-01T17:39:01ZPyBADS: Fast and robust black-box optimization in Pythonacceptedv1.0.02023-06-11 13:10:30 UTC942024-02-29 10:31:27 UTC920245694GurjeetSangraSinghUniversity of Geneva, University of Applied Sciences and Arts Western Switzerland (HES-SO)0009-0008-2340-5867LuigiAcerbiUniversity of Helsinki0000-0001-7471-733610.21105/joss.05694https://doi.org/10.5281/zenodo.10696782Pythonhttps://joss.theoj.org/papers/10.21105/joss.05694.pdfBayesian optimization, Black-box optimization, Optimization, Machine learning, Gaussian Processestag:joss.theoj.org,2005:Paper/33202022-07-05T13:03:35Z2022-07-06T00:01:01ZRHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systemsacceptedv1.0.02022-02-03 12:59:31 UTC752022-07-05 13:03:35 UTC720224370DiederikCoppittersInstitute of Mechanics, Materials and Civil Engineering, Université catholique de Louvain, Fluid and Thermal Dynamics, Vrije Universiteit Brussel0000-0001-9480-2781PanagiotisTsirikoglouLimmat Scientific AGWardDe PaepeThermal Engineering and Combustion Unit, University of Mons0000-0001-5008-2946KonstantinosKyprianidisDepartment of Automation in Energy and Environment, School of Business, Society and Engineering, Malardalen University0000-0002-8466-356XAnestisKalfasDepartment of Mechanical Engineering, Aristotle University of Thessaloniki0000-0002-0025-9392FrancescoContinoInstitute of Mechanics, Materials and Civil Engineering, Université catholique de Louvain0000-0002-8341-435010.21105/joss.04370https://doi.org/10.5281/zenodo.6782705Pythonhttps://joss.theoj.org/papers/10.21105/joss.04370.pdfhydrogen-based systems, robust design optimization, uncertainty quantificationtag:joss.theoj.org,2005:Paper/31152022-02-16T16:27:37Z2022-02-17T00:01:02ZPICOS: A Python interface to conic optimization solversacceptedv2.32021-10-18 14:29:45 UTC702022-02-16 16:27:37 UTC720223915GuillaumeSagnolTechnische Universität Berlin0000-0001-6910-8907MaximilianStahlbergTechnische Universität Berlin0000-0002-0190-269310.21105/joss.03915https://doi.org/10.5281/zenodo.6053359Pythonhttps://joss.theoj.org/papers/10.21105/joss.03915.pdfconvex optimization, robust optimization, quantum information