Guerrero Madrid, José LuisGómez-Jordana, AlfonsoBerlanga de Jesús, AntonioMolina López, José Manuel2014-02-112014-02-112012Omatu, G.; et al. (eds.) (2012) Distributed Computing and Artificial Intelligence: 9th International Conference, (Advances in Intelligent and Soft Computing, 151) Springer, pp. 725- 732.978-3-642-28764-0 (print)978-3-642-28765-7 (online)1867-5662 (print)1867-5670 (online)http://hdl.handle.net/10016/18243Proceedings of: 9th International Symposium on Distributed Computing and Artificial Intelligence (DCAI 2012). Salamanca, March 28-30, 2012Mutagenesis 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.application/pdfeng© 2012 Springer-Verlag Berlin HeidelbergMutagenesisconference paperInformática10.1007/978-3-642-28765-7_87open access725732Distributed Computing and Artificial Intelligence: 9th International ConferenceCC/0000017322