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GECCO
2004
Springer

Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms

14 years 5 months ago
Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms
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.
Mario Giacobini, Enrique Alba, Andrea Tettamanzi,
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where GECCO
Authors Mario Giacobini, Enrique Alba, Andrea Tettamanzi, Marco Tomassini
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