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CFP: ECADA 2013 Workshop

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  • Krzysztof Krawiec
    - CALL FOR PAPERS - CALL FOR PAPERS - (apologies for cross-posting) THIRD ANNUAL WORKSHOP ON Evolutionary Computation for the Automated Design of Algorithms
    Message 1 of 1 , Mar 8, 2013
      (apologies for cross-posting)

      Evolutionary Computation for the Automated Design of Algorithms (ECADA-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


      Workshop URL: http://homepages.dcc.ufmg.br/~glpappa/workshop.html

      Although most evolutionary computation techniques are designed to
      generate specific solutions to a given instance of a problem, some of
      these techniques can be explored to solve more generic problems. The
      main objective of this workshop is to discuss evolutionary computation
      methods for the generation of such generic algorithms and/or heuristics.

      Since these methods, known as hyper-heuristics, operate at a higher
      level of abstraction, they have the advantage of producing algorithms
      which can be applied to a class of problems, rather than a solution
      specifically produced for a single instance of the problem. The
      application for these methods include data mining, machine learning,
      optimization, bioinformatics, image processing, economics etc.

      The workshop welcomes original submissions on all aspects of
      evolutionary computation for designing generic algorithms and
      heuristics, which include (but are not limited to) the following
      topics and themes:

      - Evolutionary algorithms for designing generic combinatorial
      optimization algorithms or heuristics
      - Evolutionary algorithms for designing generic machine learning
      algorithms or heuristics
      - Evolutionary algorithms for designing generic function optimizers
      - Evolutionary algorithms for designing generic algorithms or heuristics
      for bioinformatics
      - (Meta-level) evolutionary algorithms for designing other (base-level)
      evolutionary algorithms
      - Empirical comparison of different hyper-heuristics
      - Theoretical analyses of hyper-heuristics
      - Automatic selection of algorithmic building blocks as a pre-processing
      step for the use of hyper-heuristics
      - Analysis of the trade-off between generality and effectiveness of
      different heuristics, algorithms or heuristics produced by hyper-heuristics
      - Real-world applications of hyper-heuristics

      Paper Submission
      Submitted papers should follow the ACM format, and not exceed 8 pages.
      Please see the GECCO 2013 information for authors for further details.
      However, note that the review process of the workshop is not
      double-blind. Hence, authors' information should appear in the paper.
      All accepted papers will be presented at the workshop and appear in the
      GECCO workshop volume. Proceedings of the workshop will be published on
      CD-ROM, and distributed at the conference.

      Papers should be submitted by 28 March, 2013 in PDF format to:
      [jerry.swan –at- cs.stir.ac.uk]
      containing the subject line "GECCO Workshop".

      Important Dates
      * Paper submission deadline: 28 March, 2013
      * Notification of acceptance: April 15, 2013
      * Camera-Ready Accepted Papers Due: April 25, 2013
      * GECCO-2013: July 06-10, 2013

      Workshop Chairs
      - Gisele L. Pappa – UFMG (Federal University of Minas Gerais), Brazil
      glpappa –at- dcc.ufmg.br
      - John Woodward - University of Stirling, United Kingdom.
      jrw –at- cs.stir.ac.uk
      - Jerry Swan - University of Stirling, United Kingdom.
      jsw –at- cs.stir.ac.uk
      Krzysztof Krawiec - Poznan University of Technology, Poland.
      krawiec –at- cs.put.poznan.pl

      For more details, please visit the workshop website at:
      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 1-800-342-6626 (USA and Canada) or +212-626-0500 (Global).
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