tag:joss.theoj.org,2005:/papers/tagged/genetic%20programmingJournal of Open Source Software2020-07-16T08:17:38ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/16302020-07-16T08:17:38Z2021-02-15T11:30:44Zdcgp: Differentiable Cartesian Genetic Programming made easy.acceptedv1.5.12020-05-21 05:51:05 UTC512020-07-16 08:17:38 UTC520202290DarioIzzoAdvanced Concepts Team, European Space Research and Technology Center (Noordwijk, NL)0000-0002-9846-8423FrancescoBiscaniMax Planck Institute for Astronomy (Heidelberg, D)10.21105/joss.02290https://doi.org/10.5281/zenodo.3802555https://joss.theoj.org/papers/10.21105/joss.02290.pdfPython, genetic programming, cartesian genetic programming, symblic regression, neural networkstag:joss.theoj.org,2005:Paper/14262020-03-20T11:18:06Z2021-02-15T11:31:11ZpyGOURGS - global optimization of n-ary tree representable problems using uniform random global searchaccepted0.12020-01-02 22:55:01 UTC472020-03-20 11:18:06 UTC520202074SohrabTowfighiFaculty of Medicine, University of Toronto0000-0002-3050-894310.21105/joss.02074https://doi.org/10.5281/zenodo.3710475Pythonhttps://joss.theoj.org/papers/10.21105/joss.02074.pdfGlobal Optimization, Heuristic Optimization, Genetic Programming, Random Searchtag:joss.theoj.org,2005:Paper/8532019-10-27T07:52:33Z2021-02-15T11:32:32ZLGP: A robust Linear Genetic Programming implementation on the JVM using Kotlin.accepted4.22019-02-09 23:40:09 UTC422019-10-27 07:52:33 UTC420191337JedSimsonUniversity of Waikato, Waikato, New Zealand0000-0002-5028-998710.21105/joss.01337https://doi.org/10.5281/zenodo.3519400Kotlinhttps://joss.theoj.org/papers/10.21105/joss.01337.pdfJVM, Linear Genetic Programming, Genetic Programming, Machine Learningtag:joss.theoj.org,2005:Paper/11532019-09-20T14:28:10Z2021-02-15T11:31:48ZpySRURGS - a python package for symbolic regression by uniform random global searchaccepted0.12019-08-11 04:01:31 UTC412019-09-20 14:28:10 UTC420191675SohrabTowfighiUniversity of Toronto, Faculty of Medicine0000-0002-3050-894310.21105/joss.01675https://doi.org/10.5281/zenodo.3442594Pythonhttps://joss.theoj.org/papers/10.21105/joss.01675.pdfsymbolic regression, regression analysis, random search, genetic programmingtag:joss.theoj.org,2005:Paper/7272019-01-30T10:59:06Z2021-02-15T11:32:48ZGAMA: Genetic Automated Machine learning Assistantacceptedv0.1.02018-11-19 17:52:57 UTC332019-01-30 10:59:06 UTC420191132PieterGijsbersEindhoven University of Technology0000-0001-7346-8075JoaquinVanschorenEindhoven University of Technology0000-0001-7044-980510.21105/joss.01132https://doi.org/10.5281/zenodo.2545472Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.01132.pdfAutoML, evolutionary algorithm, genetic programming