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EvoNUM 2010- Bio-inspired algorithms for continuous parameter optimisation

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  • Anna Esparcia
    EvoNUM 2010 - Bio-inspired algorithms for continuous parameter optimisation part of the Evo* 2010 EvoApplications Conference Istanbul, Turkey, 7-9 April 2010
    Message 1 of 1 , Aug 3, 2009
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      EvoNUM 2010 - Bio-inspired algorithms for continuous parameter optimisation

      part of the Evo* 2010 EvoApplications Conference


      Istanbul, Turkey, 7-9 April 2010
      ---------------------------------

      __Introduction__

      Many engineering problems of both theoretical and practical interest
      involve choosing the best configuration of a set of parameters to
      achieve a specified objective. Numerical optimisation refers to the
      case when these parameters take continuous real values, as opposed to
      combinatorial optimisation, which deals with discrete values. Examples
      include designing production processes for maximum efficiency, optimal
      parameter adjustment for controllers and many others. EvoNUM focuses
      on such problems.

      We seek high quality papers involving the application of bio-inspired
      algorithms (genetic algorithms, genetic programming, evolution
      strategies, differential evolution, particle swarm optimization,
      evolutionary programming, simulated annealing... and their hybrids) to
      continuous optimisation problems in engineering. We also welcome
      cross-fertilisation between Nature-inspired algorithms and more
      classical numerical optimisation algorithms.

      EvoNUM deals with engineering applications where continuous parameters
      or functions have to be optimised, in fields such as control,
      chemistry, agriculture, electricity, building and construction,
      energy, aerospace engineering, design optimisation...

      The workshop will be part of Evo* 2010, a joint event which will
      incorporate EuroGP 2010, the 13th European Conference on Genetic
      Programming, EvoCOP 2010, the 10th European Conference on Evolutionary
      Computation in Combinatorial Optimisation, EvoBIO 2010, the 8th
      Conference on Evolutionary Bioinformatics, and EvoApplications 2010,
      the European Conference on the Applications of Evolutionary
      Computation.

      __Topics of Interest__

      EvoNUM aims to cover areas that include but are not limited to:
      - Local learning of parameters
      - Mechanisms to incorporate constraints
      - Theoretical developments
      - Performance measures and performance analysis
      - Benchmark problems

      __EvoNUM chairs__

      Anna I Esparcia-Alcazar, Instituto Tecnologico de Informatica, Spain
      Aniko Ekart, Aston University, United Kingdom

      __Submission details and additional information__

      Submit your manuscript, at most 10 A4 pages long, in Springer LNCS
      format (instructions are downloadable from:

      http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-164-2-72376-0,00.html)
      using the online submission service no later than 4 November 2009.

      The papers will be peer reviewed by at least two members of the
      program committee. Authors will be notified via email on the results
      of the review by December 2009.

      The authors of accepted papers may have to improve their paper on the
      basis of the reviewers' comments and will be asked to send a camera
      ready version of their manuscripts, including all source files (text
      and images), by January 2010. All accepted papers will appear in the
      workshop proceedings, published in the Springer LNCS series, which
      will be available at the workshop.

      The authors of papers that receive the best reviews will be nominated
      for the 'Best paper Award'.

      __Important Dates__

      Submission deadline: 4 November 2009
      Notification of acceptance: Mid December 2009
      Camera ready papers due: early January 2010
      EvoNUM : 7-9 April 2010

      __Web Addresses__

      Conference web page
      http://www.evostar.org

      EvoNUM web page
      http://dces.essex.ac.uk/research/evostar/EvoNUM.htm
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