Evolutionary Computation Software Systems (EvoSoft) Workshop at GECCO 2012
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, 2012 |
| Notification of acceptance: | April 9th, 2012 |
| Camera-ready submission: | April 16th, 2012 |
| Workshops at GECCO 2012: | July 7th and 8th, 2012 |
Submission Guidelines
Authors should send their papers to evosoft@heuristiclab.com until March 28th, 2012. All workshop papers have to fulfill the preparation requirements of GECCO-2012 regular papers. Detailed instructions for authors are listed here.
Accepted Papers
DEAP: A Python Framework for Evolutionary Algorithms
François-Michel De Rainville, Félix-Antoine Fortin, Marc-André Gardner, Marc Parizeau, Christian Gagné
Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation - Conference Companion, GECCO Companion '12, pp. 85-92, ACM, 2012
EpochX: Genetic Programming in Java with Statistics and Event Monitoring
Fernando Otero, Tom Castle, Colin Johnson
Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation - Conference Companion, GECCO Companion '12, pp. 93-100, ACM, 2012
On the Architecture and Implementation of Tree-based Genetic Programming in HeuristicLab
Michael Kommenda, Gabriel Kronberger, Stefan Wagner, Stephan Winkler, Michael Affenzeller
Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation - Conference Companion, GECCO Companion '12, pp. 101-108, ACM, 2012
SofEA: A Pool-based Framework for Evolutionary Algorithms using CouchDB
Juan J. Merelo, Carlos M. Fernandes, Antonio M. Mora, Anna I. Esparcia
Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation - Conference Companion, GECCO Companion '12, pp. 109-116, ACM, 2012
libCudaOptimize: An Open Source Library of GPU-based Metaheuristics
Youssef S.G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni
Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation - Conference Companion, GECCO Companion '12, pp. 117-124, ACM, 2012
Integration of Flexible Interfaces in Optimization Software Frameworks for Simulation-based Optimization
Andreas Beham, Erik Pitzer, Stefan Wagner, Michael Affenzeller, Klaus Altendorfer, Thomas Felberbauer, Martin Bäck
Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation - Conference Companion, GECCO Companion '12, pp. 125-132, ACM, 2012
The SEEDS Platform for Evolutionary and Ecological Simulations
Brian D. Connelly, Luis Zaman, Philip K. McKinley
Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation - Conference Companion, GECCO Companion '12, pp. 133-140, ACM, 2012
Optimization Knowledge Base: An Open Database for Algorithm and Problem Characteristics and Optimization Results
Andreas Scheibenpflug, Stefan Wagner, Erik Pitzer, Michael Affenzeller
Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation - Conference Companion, GECCO Companion '12, pp. 141-148, ACM, 2012
INPUT: The Intelligent Parameter Utilization Tool
Felix Dobslaw
Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation - Conference Companion, GECCO Companion '12, pp. 149-156, ACM, 2012
Workshop Organizers
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
Carlos Cotta (University of Malaga, Spain)
Karl F. Dörner (Johannes Kepler University Linz, Austria)
Gabriel Kronberger (University of Applied Sciences Upper Austria, Austria)
Francesco Longo (University of Calabria, Italy)
Carmen Paz Suarez Araujp (University of Las Palmas de Gran Canaria, Spain)
Stephan Winkler (University of Applied Sciences Upper Austria, Austria)
