@article {30,
	title = {Chaos and Music: From time series analysis to evolutionary composition},
	journal = {International Journal of Bifurcation and Chaos (IJBC)},
	volume = {23},
	year = {2013},
	pages = {1350181},
	abstract = {Music is an amalgam of logic and emotion, order and dissonance, along with many combinations of contradicting notions which allude to deterministic chaos. Therefore, it comes as no surprise that several research works have examined the utilization of dynamical systems for symbolic music composition. The main motivation of the paper at hand is the analysis of the tonal composition potentialities of several discrete dynamical systems, in comparison to genuine human compositions. Therefore, a set of human musical compositions is utilized to provide {\textquoteleft}{\textquoteleft}compositional guidelines{\textquoteright}{\textquoteright} to several dynamical systems, the parameters of which are properly adjusted through evolutionary computation. This procedure exposes the extent to which a system is capable of composing tonal sequences that resemble human composition. In parallel, a time series analysis on the genuine compositions is performed, which firstly provides an overview of their dynamical characteristics and secondly, allows a comparative analysis with the dynamics of the artificial compositions. The results expose the tonal composition capabilities of the examined iterative maps, providing specific references to the tonal characteristics that they can capture.},
	doi = {10.1142/S0218127413501812},
	url = {http://www.worldscientific.com/doi/abs/10.1142/S0218127413501812},
	author = {M. A. Kaliakatsos-Papakostas and M. G. Epitropakis and A. Floros and M. N. Vrahatis}
}
@article {4,
	title = {Controlling interactive evolution of 8-bit melodies with genetic programming},
	journal = {Soft Computing - A Fusion of Foundations, Methodologies and Applications},
	volume = {16},
	year = {2012},
	pages = {1997-2008},
	abstract = {Automatic music composition and sound synthesis is a field of study that gains continuously increasing attention. The introduction of evolutionary computation has further boosted the research towards exploring ways to incorporate human supervision and guidance in the automatic evolution of melodies and sounds. This kind of human{\textendash}machine interaction belongs to a larger methodological context called interactive evolution (IE). For the automatic creation of art and especially for music synthesis, user fatigue requires that the evolutionary process produces interesting content that evolves fast. This paper addresses this issue by presenting an IE system that evolves melodies using genetic programming (GP). A modification of the GP operators is proposed that allows the user to have control on the randomness of the evolutionary process. The results obtained by subjective tests indicate that the utilization of the proposed genetic operators drives the evolution to more user-preferable sounds.
},
	issn = {1432-7643},
	doi = {10.1007/s00500-012-0872-y},
	author = {M. A. Kaliakatsos{\textendash}Papakostas and M. G. Epitropakis and A. Floros and M. N. Vrahatis}
}
