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.
Settore INF/01 - Informatica
2004
Book Part (author)
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/24635
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 27
  • ???jsp.display-item.citation.isi??? ND
social impact