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. © Springer-Verlag Berlin Heidelberg 2004.
Cite
CITATION STYLE
Giacobini, M., Alba, E., Tettamanzi, A., & Tomassini, M. (2004). Modeling selection intensity for toroidal cellular evolutionary algorithms. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3102, 1138–1149. https://doi.org/10.1007/978-3-540-24854-5_111
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
