Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms

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.

• Type: Conference
• Year: 2003
• Where: AE
• Authors: Mario Giacobini, Marco Tomassini, Andrea Tettamanzi
• Keywords: AE 2003, Artificial Intelligence, Cell Update Policies, Cellular Evolutionary Algorithms, Different Update Methods