Loading ...
Sorry, an error occurred while loading the content.

CFP: Evolutionary Combinatorial Optimization and Metaheuristics (ECOM) Track at GECCO 2013

Expand Messages
  • Thomas St├╝tzle
    ***************************************************************************** *** CALL FOR PAPERS *** 2013 GENETIC AND
    Message 1 of 1 , Nov 19, 2012
    • 0 Attachment
      *****************************************************************************
      *** CALL FOR PAPERS
      *** 2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2013)
      * Evolutionary Combinatorial Optimization and Metaheuristics (ECOM) Track
      *** July 06-10, 2013, Amsterdam, The Netherlands
      *** Organized by ACM SIGEVO
      *** http://www.sigevo.org/gecco-2013
      *****************************************************************************

      ** Track Description **

      The aim of this track is to provide a forum for high quality research
      on metaheuristics for combinatorial optimization problems. Plenty of
      hard problems in a wide variety of areas, including logistics, network
      design, bioinformatics, engineering, business, etc., have been tackled
      successfully with metaheuristic approaches. For many problems, the
      resulting algorithms are considered to be state-of-the-art.
      Metaheuristics include evolutionary algorithms, but also many other
      methods such as tabu search, iterated local search, variable
      neighborhood search, memetic algorithms, simulated annealing, GRASP,
      ant colony optimization and others.

      ** Scope **

      The Evolutionary Combinatorial Optimization and Metaheuristics (ECOM)
      Track welcomes submissions of original and unpublished work concerning
      applications or the theory of all kinds of metaheuristics for
      combinatorial optimization problems. Topics include (but are not
      limited to):

      * Applications of metaheuristics to combinatorial optimization problems,
      including multi-objective, stochastic and dynamic problems.
      * In-depth experimental analysis and comparisons of metaheuristics
      * Theoretical developments in combinatorial optimization and metaheuristics
      * Engineering of metaheuristic algorithms and automatic configuration
      * Hybrid metaheuristics, including memetic algorithms and matheuristics
      * Learning and adaptation techniques that enhance metaheuristics
      * Large-scale neighborhoods
      * Search space analysis
      * Insight into problem characteristics of problem classes

      All accepted papers will appear in the proceedings of GECCO 2013,
      which will be published by ACM (Association for Computing Machinery).

      ** Important Dates **

      January 23, 2013 - Paper submission deadline
      April 17, 2013 - Camera-ready version of accepted articles
      July 06-10, 2013 - GECCO 2013 Conference in Amsterdam, The Netherlands

      ** Track Chairs **

      Dr. Thomas Stuetzle (IRIDIA, ULB, Belgium) http://iridia.ulb.ac.be/~stuetzle/
      Dr. Manuel Lopez-Ibanez (IRIDIA, ULB, Belgium) http://iridia.ulb.ac.be/~manuel/
    Your message has been successfully submitted and would be delivered to recipients shortly.