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.
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, email@example.com
Last modified 2012-12-07