We are happy to announce the release of HeuristicLab 3.3.16, which is named after the location of this year's Genetic and Evolutionary Computation Conference (​GECCO) in Prague, Czech Republic.

HeuristicLab 3.3.16 "Prague" contains the following new features:

• decision tree algorithms for regression problems
• integration of ​Google OR-Tools for writing and solving MIP/LP models
• new and much faster persistence API (​HEAL.Attic) for saving and loading files
• management of projects in HeuristicLab Hive for assigning jobs and compute resources
• upgraded to .NET Framework 4.6.1
• several other performance improvements and bug fixes

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 3.3.16 "Prague" now!

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!

We are happy to announce the release of HeuristicLab 3.3.14, which we finished at this year's Genetic and Evolutionary Computation Conference (​GECCO) in Denver, CO, USA.

HeuristicLab 3.3.14 "Denver" contains the following new features:

• New problems:
  • Bin Packing
  • Probabilistic TSP
  • Multi-Objective Testfunctions
• New data analysis algorithms:
  • Gradient Boosted Regression
  • Nonlinear Regression
  • Elastic-Net
• Gradient Charts

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 3.3.14 "Denver" now!

Right before our annual HeuristicLab retreat (this time in ​Windischgarsten, Austria), we are proud to announce the release of HeuristicLab 3.3.13 "Windischgarsten" with the following new features:

• New Algorithms:
  • Age-layered Population Structure (ALPS)
  • Offspring Selection Evolution Strategy (OSES)
• New Problems:
  • Multi-objective external evaluation problem
  • Gentic programming for code generation (Robocode)
  • Further genetic programming problems: Even Parity, Multiplexer, Koza-style symbolic regression
• Additional accuracy metrics for classification models (and comparison to baseline algorithms)
• Quantile Regression based on Gradient Boosted Trees
• Mathematica export for symbolic regression/classification solutions
• Improved complexity measures for multi-objective symbolic regression
• Improved persistence of data-analysis models (SVM, Gaussian Process, GBT, Random Forest)
• Hive Statistics: A new WebApp that shows information about running jobs and available resources in HeuristicLab Hive

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 3.3.13 "Windischgarsten" now!

Following our conference-oriented release schedule, we are happy to announce the release of HeuristicLab 3.3.12 "Madrid" from this year's Genetic and Evolutionary Computation Conference (​GECCO).

HeuristicLab 3.3.12 "Madrid" contains the following new features:

• New problem: NK[P,Q] landscapes
• New problem: Orienteering
• New encoding: Linear linkage
• New data analysis algorithm: Gradient boosted trees
• New optimizer: TimeLimitRun limits algorithm execution by wall-clock time and can take snapshots at predefined points
• Integration of the Sim# simulation framework as external library (​Sim# at GitHub)
• Hive status page is replaced by a modular WebApp
• Improved and searchable "New Item" dialogue
• C# code formatter for symbolic regression/classification
• The symbolic expression tree encoding can now be used with Programmable/Basic problems
• Kernel density estimation for the histogram control

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 3.3.12 "Madrid" now!

As with every ​EuroCAST conference, the HeuristicLab development team is proud to announce the release of HeuristicLab 3.3.11 "Beach Bar".

Among others, HeuristicLab 3.3.11 "Beach Bar" contains the following new features:

• New algorithm: parameter-less population pyramid (P3). Thanks to Brian Goldman from the BEACON Center for the Study of Evolution in Action.
• New binary test problems:
  • Deceptive trap problem
  • Deceptive trap step problem
  • HIFF problem
• New views for statistical testing and analysis of run collections
• New UI for C# scripts based on AvalonEdit
• New problem type: Programmable problem
• New APIs that make it easier to implement algorithms and problems
• Upgraded to .NET 4.5

For a full list of all changes in HeuristicLab 3.3.11 "Beach Bar" have a look at the ChangeLog.

Go to the Download page or click on the image below to get HeuristicLab 3.3.11 "Beach Bar" now!

With the ​GECCO conference just around the corner, it's time again for a new release! Therefore, the HeuristicLab development team is proud to announce the release of HeuristicLab 3.3.10 "Vancouver".

Among others, HeuristicLab 3.3.10 "Vancouver" contains the following new features:

• Scripting environment for rapid-prototyping (C# Script)
• New problems: External evaluation for Scilab and Matlab
• Grammatical Evolution
• Data Preprocessing
• Redesigned start page containing even more samples, including scripting samples

For a full list of all changes in HeuristicLab 3.3.10 "Vancouver" have a look at the ChangeLog.

Go to the Download page or click on the image below to get HeuristicLab 3.3.10 "Vancouver" now!

The HeuristicLab development team is proud to announce the release of HeuristicLab 3.3.9.

Among others, HeuristicLab 3.3.9 contains the following new features:

• CMAES
• improved Hive server performance
• improved GP interpreter performance
• export of symbolic regression/classification solutions to Excel
• a new problem for the optimization of trading rules

For a full list of all changes in HeuristicLab 3.3.9 have a look at the ChangeLog.

Go to the Download page or click on the image below to get HeuristicLab 3.3.9 now!

Just in time for our demo at GPTP 2013, the HeuristicLab development team released HeuristicLab 3.3.8.

Among others, HeuristicLab 3.3.8 contains the following new features:

• Scatter Search
• Relevant Alleles Preserving GA (RAPGA)
• Symbolic Time-Series Prognosis
• Neighborhood Component Analysis
• Ensemble Modeling
• LM-BFGS
• Gaussian Process Regression and Least-Squares Classification
• Job Shop Scheduling
• Linux support based on Mono

For a full list of all changes in HeuristicLab 3.3.8 have a look at the ChangeLog.

Go to the Download page or click on the image below to get HeuristicLab 3.3.8 now!

Just in time for our tutorial at GECCO 2012, the HeuristicLab development team released HeuristicLab 3.3.7.

Among others, HeuristicLab 3.3.7 contains the following new features:

• new dialog to automatically create large experiments
• support for the optimization knowledge base (OKB)
• new and improved implementation of the Vehicle Routing Problem (VRP) which supports more VRP variants such as CVRP, DCVRP, CVRPTW, PDPTW, and MDCVRPTW
• lawn mower problem
• linear assignment problem and Hungarian algorithm
• benchmark problem instances: HeuristicLab now includes various libraries of published benchmark problem instances for combinatorial optimization problems (TSPLIB, QAPLIB, Taillard, Golden, Cordeau, Solomon, etc.) and regression/classification problems (Keijzer, Korns, Nguyen, real world problems, etc.)

For a full list of all changes in HeuristicLab 3.3.7 have a look at the ChangeLog.

Go to the Download page or click on the image below to get HeuristicLab 3.3.7 now!

Happy new year! The HeuristicLab development team kicked off 2012 with the brand new HeuristicLab 3.3.6 release.

One of the most exciting new features of HeuristicLab 3.3.6 is HeuristicLab Hive which provides an infrastructure for parallel and distributed computing. Hive consists of a server and computation slaves. Users can upload jobs to the Hive server which distributes the jobs among the available slaves. The slaves execute the jobs and send the result back to the server after they are finished. More information about how to install a Hive server and Hive slaves and how to use Hive in general can be found in the Howtos?.

Additional new features in HeuristicLab 3.3.6 include:

• Robust Taboo Search for the Quadratic Assignment Problem
• New Standard Algorithms for Regression and Classification (kNN, Neural Networks, Multi-Nominal Logit Regression)
• Genetic Programming Grammar Editor
• New Standard Tree-Creation Operators for Genetic Programming (Grow, Full, Ramped Half-Half)
• RunCollectionModifiers to Combine and Transform Algorithm Results
• Improved Customization and Export of Charts
• Performance Benchmarks

For a full list of all changes in HeuristicLab 3.3.6 have a look at the ChangeLog.

Go to the Download page or click on the image below to get HeuristicLab 3.3.6 now!