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Looking Under the EA Hood with Price’s Equation
Jeffrey K. Bassett1, Mitchell A. Potter2, and Kenneth A. De Jong1
1George Mason University, Fairfax, VA 22030
jbassett@cs.gmu.edu
kdejong@cs.gmu.edu
2Naval Research Laboratory, Washington, DC 20375
mpotter@aic.nrl.navy.mil
Abstract. In this paper we show how tools based on extensions of Price’s equation allow us to look inside production-level EAs to see how selection, representation, and reproductive operators interact with each other, and how these interactions affect EA performance. With such tools it is possible to understand at a deeper level how existing EAs work as well as provide support for making better design decisions involving new EC applications.
LNCS 3102, p. 914 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2004