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Open Source Software for Evolutionary Computation

Webpage: https://evooss.heuristiclab.com

Description

Evolutionary computation (EC) methods are applied in many different domains. Therefore, soundly engineered, reusable, flexible, user-friendly, interoperable, and open software for EC is needed more than ever to bridge the gap between theoretical research and practical application. However, due to the heterogeneity of application domains and the large number of EC methods, the development of such software is both, time consuming and complex. Consequently, many EC researchers implement custom, highly specialized, closed source and often throw-away software which focuses on a specific research question and is used only once to produce results for the next paper. It is not yet standard in the EC community that the software used to produce the presented results is also made available as open source software in each publication, let alone that this software is also engineered in such a way that others can easily base their research work on it or apply it in practice. This significantly hinders the comparability and reproducibility of research results in the field.

This workshop promotes the development and dissemination of open source software for evolutionary computation and provides a platform for EC researchers to present their latest open source software libraries, frameworks, and tools for the development, analysis, and application of evolutionary algorithms.

Please note that submissions to this workshop will only be accepted if they describe open source software for EC that has already been released and is publically available. The URL to the source code repository must be included in the paper. Therefore, contributions to this workshop have not to be submitted in anonymized form, as the identity of the authors is usually very easy to determine from the repository.


Organizers

Stefan Wagner
Stefan Wagner received his MSc in computer science in 2004 and his PhD in technical sciences in 2009, both from Johannes Kepler University Linz, Austria. From 2005 to 2009 he worked as associate professor for software project engineering and since 2009 as full professor for complex software systems at the Campus Hagenberg of the University of Applied Sciences Upper Austria. From 2011 to 2018 he was also CEO of the FH OÖ IT GmbH, which is the IT service provider of the University of Applied Sciences Upper Austria. Dr. Wagner is one of the founders of the research group Heuristic and Evolutionary Algorithms Laboratory (HEAL) and is project manager and head architect of the open-source optimization environment HeuristicLab. He works as project manager and key researcher in several R&D projects on production and logistics optimization and his research interests are in the area of combinatorial optimization, evolutionary algorithms, computational intelligence, and parallel and distributed computing.


 
Michael Affenzeller
Michael Affenzeller has published several papers, journal articles and books dealing with theoretical and practical aspects of evolutionary computation, genetic algorithms, and meta-heuristics in general. In 2001 he received his PhD in engineering sciences and in 2004 he received his habilitation in applied systems engineering, both from the Johannes Kepler University Linz, Austria. Michael Affenzeller is professor at the University of Applied Sciences Upper Austria, Campus Hagenberg, head of the research group Heuristic and Evolutionary Algorithms Laboratory (HEAL), head of the Master degree program Software Engineering, vice-dean for research and development, and scientific director of the Softwarepark Hagenberg.