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. © Springer-Verlag 2004.
Cite
CITATION STYLE
Giacobini, M., Tomassini, M., & Tettamanzi, A. (2004). Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2936, 345–356. https://doi.org/10.1007/978-3-540-24621-3_28
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