Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications


The implementation of HeuristicLab 1.1 was started by Stefan Wagner and Michael Affenzeller in the year 2002. The main motivation for the development of HeuristicLab was to build a paradigm-independent, flexible, extensible, and comfortable environment for heuristic optimization on top of a state-of-the-art programming environment and by using modern programming concepts.

It is available for free on our webpage. To date version 1.1 is publicly released, while work is progressing towards the next public release (likely under the GPL). It will be put on the site as it is released. To download the software please see the links below. You also find a number of plugins containing optimization algorithms as well as problem definitions. Because it builds on Microsoft's .NET technology you also need the .NET Framework. Many of the plugins are available with source code and example problems.


HeuristicLab 1.1

.NET Framework 1.1