We present quantitative models for the selection pressure on cellular evolutionary algorithms structured as a ring of cells. We obtain results for synchronous and 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 Linear Cellular Evolutionary Algorithms

GIACOBINI, Mario Dante Lucio;
2004-01-01

Abstract

We present quantitative models for the selection pressure on cellular evolutionary algorithms structured as a ring of cells. We obtain results for synchronous and 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.
2004
Artificial Evolution
Marseille, France
September 2003
Proceedings of the Conference on Artificial Evolution
Springer Verlag
2936
345
356
evolutionary computation; artificial evolution; selection intensity
Giacobini, Mario Dante Lucio; Tomassini, M; Tettamanzi, A.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

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/2318/130172
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 4
social impact