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GECCO 2013: Call for Papers on Self-* Search (SS)

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  • Gisele L. Pappa
    ==================================================================== GECCO 2013: Call for Papers on Self-* Search (SS) 2013 Genetic and Evolutionary
    Message 1 of 1 , Nov 29, 2012
      GECCO 2013: Call for Papers on Self-* Search (SS)

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

      Submission deadline: January 23, 2013

      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 overall goal
      is to reduce the role of the human expert in the process of designing an
      algorithm to solve a computational search problem.

      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, constraint programming and games.

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

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


      * Meet the Submission Deadline: Wednesday, January 23, 2013.
      * Word and LaTeX templates:http://www.sigevo.org/gecco-2013/papers.html
      * Submission site:https://ssl.linklings.net/conferences/gecco

      For detailed instructions, including categories, keywords, and
      formatting requirements, visit http://www.sigevo.org/gecco-2013.


      Gabriela Ochoa, University of Stirling, Scotland, UK

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