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32

AE
2003
Springer

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Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms

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Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms

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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.

Mario Giacobini, Marco Tomassini, Andrea Tettamanz

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AE 2003 | Artificial Intelligence | Cell Update Policies | Cellular Evolutionary Algorithms | Diﬀerent Update Methods |

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Added	06 Jul 2010
Updated	06 Jul 2010
Type	Conference
Year	2003
Where	AE
Authors	Mario Giacobini, Marco Tomassini, Andrea Tettamanzi

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