Evolutionary Computation Software Systems (EvoSoft) Workshop at GECCO 2014
Description & Topics
Evolutionary computation (EC) methods are applied in many different domains. Therefore soundly engineered, reusable, flexible, user-friendly, and interoperable software systems are more than ever required to bridge the gap between theoretical research and practical application. However, due to the heterogeneity of the application domains and the large number of EC methods, the development of such systems is both, time consuming and complex. Consequently many EC researchers still implement individual and highly specialized software which is often developed from scratch, concentrates on a specific research question, and does not follow state of the art software engineering practices. By this means the chance to reuse existing systems and to provide systems for others to build their work on is not sufficiently seized within the EC community. In many cases the developed systems are not even publicly released, which makes the comparability and traceability of research results very hard.
This workshop enables EC researchers to exchange their ideas on how to develop and apply generic and reusable EC software systems and to present open and freely available solutions on which others can build their work on. Furthermore, the workshop should help to identify common efforts in the development of EC software systems and should highlight cooperation potentials and synergies between different research groups. It concentrates on the importance of high-quality software systems and professional software engineering in the field of EC and provides a platform for EC researchers to discuss the following and other related topics:
- development and application of generic and reusable EC software systems
- architectural and design patterns for EC software systems
- software modeling of EC algorithms and problems
- open-source EC software systems
- expandability, interoperability, and standardization
- comparability and traceability of research results
- graphical user interfaces and visualization
- comprehensive statistical and graphical results analysis
- parallelism and performance
- usability and automation
- comparison and evaluation of EC software systems
Important Dates
| Submission deadline: | March 28th, 2014 |
| Notification of acceptance: | April 15th, 2014 |
| Camera-ready submission: | April 25th, 2014 |
| Workshop at GECCO 2014: | July 12th, 2014 |
Submission Guidelines
Authors should send their papers to evosoft@heuristiclab.com until March 28th, 2014. All workshop papers have to fulfill the formatting requirements of GECCO'14 full regular papers. Detailed formatting instructions for authors are listed here.
Program
Location: Room Parksville, Sheraton Wall Centre Vancouver, Vancouver, Canada
Date: July 12th, 2014
Time: 14:00 - 18:00
| Session 1 (Chair: Stefan Wagner) | ||
|---|---|---|
| 14:00 | Welcome & Introduction | S. Wagner |
| 14:10 | Scripting and Framework Integration in Heuristic Optimization Environments | A. Beham, J. Karder, G. Kronberger, S. Wagner, M. Kommenda, A. Scheibenpflug |
| 14:35 | Working with OpenCL to Speed Up a Genetic Programming Financial Forecasting Algorithm: Initial Results | J. Brookhouse, F. E. B. Otero, M. Kampouridis |
| 15:00 | Hyperion2: A Toolkit for {Meta-, Hyper-} Heuristic Research | A. E. I. Brownlee, J. Swan, E. Özcan, A. J. Parkes |
| 15:25 | A Scalable Symbolic Expression Tree Interpreter for the HeuristicLab Optimization Framework | S. Cirillo, S. Lloyd |
15:50 - 16:10 Coffee Break
| Session 2 (Chair: Michael Affenzeller) | ||
|---|---|---|
| 16:10 | Distributed Optimization on Super Computers: Case Study on Software Architecture Optimization Frameworks | R. Etemaadi, M. R. V. Chaudron |
| 16:40 | A Genetic Programming Problem Definition Language Code Generator for the EpochX Framework | C. Leroux, F. E. B. Otero, C. G. Johnson |
| 17:10 | NodEO, a Multi-Paradigm Distributed Evolutionary Algorithm Platform in JavaScript | J. J. Merelo, P. A. Castillo, A. M. Mora, A. I. Esparcia-Alcázar, V. M. Rivas-Santos |
| 17:40 | Closing Remarks | M. Affenzeller |
Workshop Chairs
Stefan Wagner, Austria
Stefan Wagner received his MSc in computer science in 2004 and his PhD in technical sciences in 2009, both from the Johannes Kepler University Linz, Austria. From 2005 to 2009 he worked as an associate professor for software project engineering and since 2009 as a full professor for complex software systems at the University of Applied Sciences Upper Austria, Campus Hagenberg, Austria. Dr. Wagner is one of the founders of the research group Heuristic and Evolutionary Algorithms Laboratory (HEAL) and is the project manager and head developer of the HeuristicLab optimization environment.
Michael Affenzeller, Austria
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, and head of the research group Heuristic and Evolutionary Algorithms Laboratory (HEAL).
Program Committee
Gabriel Kronberger (University of Applied Sciences Upper Austria, Austria)
Francesco Longo (University of Calabria, Italy)
José Antonio Parejo Maestre (University of Sevilla, Spain)
Stephan Winkler (University of Applied Sciences Upper Austria, Austria)
