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CFP: GECCO 2012 Self-* Search (SS) Track

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  • Gisele L. Pappa
    ==================================================================== GECCO 2012: Call for Papers on Self-* Search (SS) 2012 Genetic and Evolutionary
    Message 1 of 1 , Nov 24 4:54 AM
      GECCO 2012: Call for Papers on Self-* Search (SS)

      2012 Genetic and Evolutionary Computation Conference (GECCO-2012)
      July 7-11, Philadelphia, USA

      Submission deadline: January 13, 2012

      Search and optimization problems are everywhere, and search algorithms
      are getting increasingly powerful.
      However, they are also getting increasingly complex, and only
      autonomous self-managed systems that provide
      high-level abstractions can turn search algorithms into widely used
      methodologies. Such systems should be
      able to configure themselves on the fly, automatically adapting to the
      changing problem conditions, based on
      general goals provided by their users.

      The aim of the Self-* Search track is to bring together researchers
      from computer science, artificial intelligence
      and operations research, interested in software systems able to
      automatically tune, configure, or even generate
      and design optimization algorithms and search heuristics. We also
      encourage submissions related to the automated design
      and configuration of algorithms in other areas such as machine
      learning and constraint programming.

      We invite all papers related to Self-* Search, in particular (but not
      limited to) those in the following subject areas:

      * Hyper-heuristics
      * Adaptive and self-adaptive parameter control
      * Autonomous control for search algorithms
      * Adaptive operator selection
      * Automated construction of heuristics and/or algorithms
      * Evolving heuristics and/or algorithms
      * Auto-constructive evolution
      * Cross-domain heuristic search
      * Computer-aided algorithm design
      * Multi-level search
      * Automatic algorithm configuration
      * Adaptive and co-evolutionary multimeme algorithms
      * Reactive search and intelligent optimization
      * Algorithm selection and portfolios
      * Software self-assembly
      * Meta-learning and meta-genetic programming
      * Applications of self-* techniques to multi-objective, dynamic,
      and complex real-world problems.

      Self-* Track Chairs:

      Gabriela Ochoa, University of Nottingham, UK

      Gisele L. Pappa, Federal University of Minas Gerais, Brazil

      Looking forward to meeting you in Philadelphia!

      Gisele L. Pappa
      Assistant Professor
      Computer Science Department
      Universidade Federal de Minas Gerais
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