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Call for Papers: Workshop on Evolutionary Computation Software Systems (EvoSoft) @ GECCO 2013

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  • Stefan Wagner
    WORKSHOP ON EVOLUTIONARY COMPUTATION SOFTWARE SYSTEMS (EvoSoft) to be held as part of the 2013 Genetic and Evolutionary Computation Conference (GECCO-2013)
    Message 1 of 1 , Jan 19, 2013

      to be held as part of the

      2013 Genetic and Evolutionary Computation Conference (GECCO-2013)
      July 06-10, Amsterdam, The Netherlands

      Organized by ACM SIGEVO

      Submission deadline for this workshop: March 28th, 2013

      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

      * 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

      Additional details are available at http://evosoft.heuristiclab.com

      Submission Deadline: March 28th, 2013
      Notification of Acceptance: April 15th, 2013
      Camera-ready Submission: April 25th, 2013
      Workshops at GECCO 2013: July 6th and 7th, 2013

      Authors should send their papers to evosoft@... until
      March 28th, 2013. All workshop papers have to fulfill the preparation
      requirements of GECCO-2013 full regular papers. Detailed instructions
      for authors are listed here:

      Dr. Stefan Wagner
      Professor for Complex Software Systems

      Dr. Michael Affenzeller
      Professor for Heuristic Optimization and Machine Learning

      Heuristic and Evolutionary Algorithms Laboratory (HEAL)
      Department of Software Engineering, Campus Hagenberg
      School of Informatics, Communications and Media
      University of Applied Sciences Upper Austria

      GECCO is sponsored by the Association for Computing Machinery Special
      Interest Group on Genetic and Evolutionary Computation (SIGEVO). SIG
      Services: 2 Penn Plaza, Suite 701, New York, NY, 10121, USA,
      1-800-342-6626 (USA and Canada) or +212-626-0500 (Global).
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