HeuristicLab 3.3.15 "Berlin" Release
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!