Mutagenesis is a process which forces the coverage of certain zones of the search space during the generations of an evolution strategy, by keeping track of the covered ranges for the different variables in the so called gene matrix. Originally introduced as an artifact to control the automated stopping criterion in a memetic algorithm, ESLAT, it also improved the exploration capabilities of the algorithm, even though this was considered a secondary matter and not properly analyzed or tested. This work focuses on this diversity enhancement, redefining mutagenesis to increase this characteristic, measuring this improvement over a set of twenty-seven unconstrained optimization functions to provide statistically significant results. © 2012 Springer-Verlag.
CITATION STYLE
Guerrero, J. L., Gómez-Jordana, A., Berlanga, A., & Molina, J. M. (2012). Mutagenesis as a diversity enhancer and preserver in evolution strategies. In Advances in Intelligent and Soft Computing (Vol. 151 AISC, pp. 725–732). https://doi.org/10.1007/978-3-642-28765-7_87
Mendeley helps you to discover research relevant for your work.