We are happy to announce the release of HeuristicLab 3.3.15, which is named after the location of last year's Genetic and Evolutionary Computation Conference (​GECCO) in Berlin, Germany.

HeuristicLab 3.3.15 "Berlin" contains the following new features:

New problems: Graph Coloring New data analysis algorithms: Barnes-Hut t-SNE (C# port of Laurens van der Maaten's C++ implementation) Kernel Ridge Regression Elastic-net Regression (glmnet wrapper) Support for categorical variables for symbolic regression and multiple data analysis algorithms PSO improvements (compatible with standard PSO 2011) Extreme-point based packing algorithm for 3D bin packing New functionalities for data preprocessing New functionality for run analysis (e.g. RLD/ECDF) For a full list of all changes have a look at the ChangeLog.

Go to the Download page or click on the image below to get HeuristicLab 3.3.15 "Berlin" now!