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LION 5: Special Session on Self-tuning, self-configuring and self-generating evolutionary algorithms (Self* EAs)

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  • Gabriela Ochoa
    *LION 5: Special session on Self-tuning, self-configuring and self-generating evolutionary algorithms (Self* EAs)* (Learning and Intelligent OptimizatioN )
    Message 1 of 2 , Sep 27, 2010
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      LION5: Special session on Self-tuning, self-configuring and self-generating evolutionary algorithms (Self* EAs)

      (Learningand Intelligent OptimizatioN )

      Dates: 17th- 21th January 2011

      Location:Rome, Italy

      Call for papers

      Submission deadline: October 16, 2010

      Special Session Scope

      Despite the success of evolutionary algorithms in solving difficult real-world optimization problems, their application to newly encountered problems, or even new instances of known problems, remains problematic. The difficulties arise mainly from the significant range of algorithm and/or parameter choices involved, and the lack of guidance regarding how to proceed for choosing them. Several approaches have been proposed to reduce the role of the human expert in the process of designing effective search algorithms. Such approaches often make use of machine learning techniques. They can be designed as meta-level search over either the tuning parameters, or building blocks made of heuristic components. Focused on evolutionary algorithms, this special session will also borrow to operations research and artificial intelligence at large. The following 3 general paths toward automated heuristic design will be distinguished: 1) tuning: the process of adjusting the control parameters of the algorithm; 2) configuring: the process of selecting and using existing algorithmic components (such as variation operators); 3) generating: the process of creating new heuristics from existing sub-components borrowed from other search methods.

      Submission Details
      Papers on all topics related to the session themes are solicited. Prospective authors should submit papers via the online submission system of LION 2011.


      Authors are advised to be careful when selecting a paper category. The paper categories for LION-S*EA are:

      1. LION-S*EA: Regular paper (max. 15 pages in LNCS format);
      2. LION-S*EA: Short paper (max. 4 pages in LNCS format);
      3. LION-S*EA: Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference.
      In addition, an e-mail message including paper Id, title of paper, author's names, and abstract must be sent to the session chairs:
      Gabriela.Ochoa@... and Marc.Schoenauer@....

      All accepted novel and unpublished papers will be published in the post-conference proceedings of LION5.

      Learning and Intelligent OptimizatioN Conference

      The LION conference aims at exploring the intersections between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. The main purpose of the event is to bring together experts from all these areas to present and discuss new ideas, new methods, general trends, challenges and opportunities in applications as well as in research aiming at algorithmic advances. The conference program will consist of plenary presentations, introductory and advanced tutorials, technical presentations, and it will give ample time for discussions.

      Important Dates
      Submission deadline: October 16, 2010
      Notification of acceptance: November 27, 2010
      Conference: January 17-21, 2011
      Camera ready for post-proceedings: February 18, 2011

      We look forward to meeting you in Rome!

      Gabriela Ochoa, http://www.cs.nott.ac.uk/~gxo/
      Marc Schoenauer, http://www.lri.fr/~marc/

    • John WOODWARD
      Hi Please could you circulate the announcemtne below. thanks John Woodward Department of Computer Science at the University of Nottingham Ningbo China.
      Message 2 of 2 , Mar 2, 2011
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        Hi Please could you circulate the announcemtne below.



        John Woodward

        Department of Computer Science at the University of Nottingham Ningbo China.

        webpages: http://www.cs.nott.ac.uk/~jrw/ http://uk.linkedin.com/in/johnrwwoodward http://www.facebook.com/JohnRWWoodward

        emails: john.woodward@... john.r.woodward@... jrw@...

        phones: mobile +86 18658297583 office 8818 0239  fax +86 (0)574 8818 0125 skype john.r.woodward

        address: 423 Administration Building, University of Nottingham, Ningbo China, 199 Taikang East Road, University Park, Ningbo, Zhejiang, 315100, P.R.C.




        to be held as part of the

        2011 Genetic and Evolutionary Computation Conference (GECCO-2011)
        July 12-16, Dublin, Ireland

        Organized by ACM SIGEVO
        20th International Conference on Genetic Algorithms (ICGA) and the
        16th Annual Genetic Programming Conference (GP)

        One Conference - Many Mini-Conferences 15 Program Tracks


        Workshop Website

        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 generating generic algorithms and/or
        heuristics. These methods have the advantage of producing solutions
        that are applicable to any instance of a problem domain, instead
        of a solution specifically produced for a single instance of the problem.
        The areas of application of these methods may include, for instance,
        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, 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 optimization
        - 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 algorithms' building blocks as a preprocessing 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 2011 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 7 April, 2011 in PDF format to:
        and contain the subject "GECCO Workshop".

        Important Dates

        * Paper submission deadline: 7 April, 2011
        * Notification of acceptance: 14 April, 2011
        * Camera-ready deadline: 26 April, 2011
        * Registration deadline: 2 May, 2011
        * GECCO-2011: July 12-16, 2011

        Workshop Chairs

        - Gisele L. Pappa - UFMG(Federal University of Minas Gerais), Brazil
        - John Woodward - University of Nottingham, Ningbo, China
        - Alex A. Freitas - University of Kent, United Kingdom
        - Jerry Swan - University of Nottingham, United Kingdom

        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 (USA and Canada) or +212-626-0500 (Global).


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