@article {29,
	title = {Classification and generation of composer-specific music using global feature models and variable neighborhood search},
	journal = {Computer Music Journal},
	volume = {39},
	year = {2015},
	pages = {91},
	chapter = {71},
	author = {D. Herremans and K. S{\"o}rensen and David Martens}
}
@inbook {42,
	title = {Composer Classification Models for Music-Theory Building},
	booktitle = {Computational Music Analysis},
	year = {2015},
	publisher = {Springer},
	organization = {Springer},
	issn = {978-3-319-25929-1 (Print) 978-3-319-25931-4 (Online)},
	doi = {0.1007/978-3-319-25931-4},
	url = {http://link.springer.com/book/10.1007/978-3-319-25931-4},
	author = {D. Herremans and David Martens and K. S{\"o}rensen and D. Meredith}
}
@article {Herremans2013,
	title = {Composing Fifth Species Counterpoint Music With A Variable Neighborhood Search Algorithm},
	journal = {Expert Systems with Applications},
	volume = {40},
	year = {2013},
	month = {11/2013},
	chapter = {6427{\textendash}6437},
	issn = {0957-4174},
	doi = {10.1016/j.eswa.2013.05.071},
	url = {http://www.sciencedirect.com/science/article/pii/S0957417413003692},
	author = {D. Herremans and K. S{\"o}rensen}
}
@proceedings {246,
	title = {Composing counterpoint musical scores with variable neighborhood search},
	year = {2012},
	author = {D. Herremans and K. S{\"o}rensen}
}
@article {RePEc:ant:wpaper:2012020,
	title = {Composing Fifth Species Counterpoint Music With Variable Neighborhood Search},
	number = {2012020},
	year = {2012},
	institution = {University of Antwerp, Faculty of Applied Economics},
	type = {Technical Report 2012:020- UA, Faculty of Applied Economics},
	abstract = {In this paper, a variable neighborhood search (VNS) algorithm is developed and analyzed that can generate fth species counterpoint fragments. The existing species counterpoint rules are quanti ed and form the basis of the objective function used by the algorithm. The VNS developed in this research is a local search metaheuristic that starts from a randomly generated fragment and gradually improves this solution by changing one or two notes at a time. An in-depth statistical analysis reveals the signi cance as well as the optimal settings of the parameters of the VNS. The algorithm has been implemented in a user-friendly software environment called Optimuse. Optimuse allows a user to input basic characteristics such as length, key and mode. Based on this input, a fth species counterpoint fragment is generated that can be edited and played back immediately. This work is the expansion of a previous paper by the authors in which rst species counterpoint music is composed by a similar VNS algorithm.},
	url = {http://ideas.repec.org/p/ant/wpaper/2012020.html},
	author = {D. Herremans and K. S{\"o}rensen}
}
@article {herremans2012,
	title = {Composing first species counterpoint musical scores with a variable neighbourhood search algorithm},
	journal = {Journal of Mathematics and the Arts},
	volume = {6},
	year = {2012},
	pages = {169 - 189},
	doi = {10.1080/17513472.2012.738554},
	author = {D. Herremans and K. S{\"o}rensen}
}
