ICTAI 06' @ Washington D.C.
Special Track on Non-Darwinian Evolutionary Computation for Optimization and Design
November 13-15, 2006

Track description:

Evolutionary computation was originally inspired by the Darwinian model of evolution that proceeds via the repetition of two major steps, one that involves introducing innovation into the current population of individuals, and the second, natural selection, that creates a new parent population from the generated new individuals. In the conventional methods of evolutionary computation, innovation is typically done through random or semi-random mutations and/or recombinations. The evolutionary process is not guided by any reasoning method or "intelligent agent," and therefore tends not to be very efficient.

More recently, several new directions in evolutionary computation sprang to life such as Cultural Algorithms, Estimation of Distribution Algorithms, Memetic Algorithms, and Learnable Evolution Model, all of which can be called Non-Darwinian, because they use non-conventional methods of introducing innovation and/or involve a combination of different modes of operation. This track aims at bringing together researchers conducting theoretical and experimental research on various forms of such Non-Darwinian evolutionary computation. Topics of interest to this track include, but are not limited to:

  • Cultural Algorithms
  • Estimation of Distribution Algorithms
  • Learnable Evolution Model
  • Memetic Algorithms
  • Real-world Applications and Comparative studies
  • Theoretical Aspects of non-Darwinian Evolutionary Computation

    Important dates:
    June 30, 2006 submit a full paper (extended deadline)
     
    August 16, 2006 notifications of Authors about the acceptance of their papers
     
    September 10, 2006 submit a camera-ready paper and register to the conference
     
    November 13-15, 2006 conference

    Please send an expression of interest in participating in this track as a speaker or only as a participant, to Janusz Wojtusiak to the address below (please include "ICTAI'06 special track" in the subject).

    For formatting instruction please check ICTAI 06' website. Submissions must be completed through ICTAI 06' website and by email to the special track organizers (ictai06 _at_ mli.gmu.edu).

    Conference website: http://www.nvc.cs.vt.edu/ictai06/

    Track Organizers:

    Janusz Wojtusiak (jwojt _at_ mli.gmu.edu)
    Kenneth Kaufman (kaufman _at_ mli.gmu.edu)
    Ryszard Michalski (michalski _at_ mli.gmu.edu)

    Machine Learning and Inference Laboratory
    George Mason University
    4400 University Drive MSN 5B2
    Fairfax, VA 22030, USA

    Program Committee:

    Carlos A. Coello Coello (CINVESTAV-IPN, Mexico)
    David W. Corne (Heriot-Watt University, United Kingdom)
    David B. Fogel (Natural Selection, Inc., United States)
    Laetitia Jourdan (Laboratoire d'Informatique Fondamentale de Lille, France)
    Kenneth A. Kaufman (George Mason University, United States)
    Pedro Larranaga (University of the Basque Country, Spain)
    Zbigniew Michalewicz (University of Adelaide, Australia)
    Ryszard S. Michalski (George Mason University, United States)
    Yew-Soon Ong (Nanyang Technological University, Singapore)
    Robert G. Reynolds (Wayne State University, United States)
    Robert Schaefer (AGH University of Science and Technology, Poland)
    Janusz Wojtusiak (George Mason University, United States)

     ICTAI 06' Special Track on Non-Darwinian Evolutionary Computation for Optimization and Design