• CFP: CEC 2019 Special Session on Speciation

    From parker@conncoll.edu@21:1/5 to All on Wed Dec 12 20:19:52 2018
    Call for Papers
    Special Session on Speciation
    IEEE Congress on Evolutionary Computation (IEEE CEC 2019)
    Wellington, New Zealand
    10-13 June 2019
    submission deadline: 7 January 2019

    Although Evolutionary Algorithms are very good at mimicking adaptation within a species to optimize solutions for difficult problems, creating algorithms that can mimic the development of two or more species from a common ancestor has been a challenge.
    There are versions of Evolutionary Algorithms that have some characteristics of speciation, but none that match natural processes. Such algorithms would be a good step in the development of a general purpose Evolutionary Algorithm and would help in
    understanding the principles of evolution. In regards to this research, we consider a population to be distinct (and a separate species) if it is made up of individuals that are unable to produce viable offspring with individuals from the other
    population or if offspring are produced, they are sterile. The short term goal, which is reasonable for this special session, is to have individuals of differing species choose not to mate and if they do produce offspring, the offspring do not continue
    to reproduce. In this way, the gene pools for each of the species will be isolated.

    The purpose of this special session is to bring together people working on Evolutionary Algorithms that tend toward or have the potential for speciation. Some possible topics of interest include:

    - Evolutionary algorithms mimicking allopatric or sympatric speciation
    - Environments for research in natural speciation
    - Biologically-inspired models of interactive agents
    - Spatially-structured populations
    - Niching
    - Island models
    - Use of topology in populations
    - Formation of sub-populations
    - Selection criteria in evolutionary algorithms
    - Co-evolution
    - Multi-agent systems
    - Multimodal function optimization


    Gary Parker
    Department of Computer Science, Connecticut College, New London, Connecticut, USA

    Peter Whigham
    Department of Information Science, University of Otago, Dunedin, Otago, New Zealand.

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