We present quantitative models for the selection pressure of cellular evolutionary algorithms structured in two dimensional regular lattices. We derive models based on probabilistic difference equations for synchronous and several asynchronous cell update policies. Theoretical results are in agreement with experimental values and show that the selection intensity can be controlled by using different update methods.
Modeling selection intensity for toroidal cellular evolutionary algorithms / Mario Giacobini, Enrique Alba, Andrea Tettamanzi, Marco Tomassini - In: Genetic and evolutionary computation--GECCO 2004 : genetic and evolutionary computation Conference, Seattle, WA, USA, June 26-30, 2004 : proceedings / [a cura di] Kalyanmoy Deb ... [et al.]. - Berlin : Springer, 2004. - ISBN 3540223444. - pp. 1138-1149 (( Intervento presentato al 6. convegno Genetic and Evolutionary Computation (GECCO 2004) tenutosi a Seattle nel 2004.
Modeling selection intensity for toroidal cellular evolutionary algorithms
Andrea Tettamanzi;
2004
Abstract
We present quantitative models for the selection pressure of cellular evolutionary algorithms structured in two dimensional regular lattices. We derive models based on probabilistic difference equations for synchronous and several asynchronous cell update policies. Theoretical results are in agreement with experimental values and show that the selection intensity can be controlled by using different update methods.Pubblicazioni consigliate
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