Nuanáin, Cárthach ÓHerrera Boyer, Perfecto, 1964-Jordà Puig, Sergi2020-02-252020-02-252015Nuanáin CÓ, Herrera P, Jordà S. Target-based rhythmic pattern generation and variation with genetic algorithms. In: Proc. of the 12th Int. Conference on Sound and Music Computing (SMC-15); 2015 Jul 30 - Aug 1; Maynooth, Ireland. Maynooth; Department of Computer Science, Maynooth University; 2015. p. 111-7.9-7809-92746629http://hdl.handle.net/10230/43697Comunicació presentada a: 12th International Conference on Sound and Music Computing (SMC-15) celebrada del 30 de juliol a l'1 d'agost de 2015 a Maynooth, Ireland.Composing drum patterns and musically developing them through repetition and variation is a typical task in electronic music production. We propose a system that, given an input pattern, automatically creates related patterns using a genetic algorithm. Two distance measures (the Hamming distance and directed-swap distance) that relate to rhythmic similarity are shown to derive usable fitness functions for the algorithm. A software instrument in the Max for Live environment presents how this can be used in real musical applications. Finally, a user survey was carried out to examine and compare the effectiveness of the fitness metrics in determining rhythmic similarity as well as the usefulness of the instrument for musical creation.application/pdfeng© 2015 Cárthach Ó Nuanáin, Perfecto Herrera and Sergi Jordà et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess