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On Two Types of GA-Learning Nicolaas J. Vriend, Queen Mary, University of London in: S.-H. Chen (Ed.), Evolutionary Computation in Economics and Finance. (Studies in Fuzziness and Soft Computing 100), Physica-Verlag, Heidelberg, 2002, p. 233-243 
Full paper (PDF format)
See also: An Illustration of the Essential Difference between Individual and Social Learning, and its Consequences for Computational Analyses, Journal of Economic Dynamics and Control, 2000. Abstract.
We distinguish two types of learning with a Genetic Algorithm. A
population learning Genetic Algorithm (or pure GA), and an individual
learning Genetic Algorithm (basically a GA combined with a Classifier
System). The difference between these two types of GA is often neglected,
but we show that for a general class of problems this difference is
essential as it may lead to widely differing performances. The underlying
cause for this is a so called spite effect. Nick Vriend, n.vriend@qmul.ac.uk Last modified 2012-12-07 |