Mono-objective Evolutionary Model for Affective Algorithmic Composition

Abstract

The Affective Music Composition study indicates that musical features can be associated to emotions. Thus, Affective Algorithmic Composition systems implements such features in order to generate melodies that can express or induce emotions. These systems can be applied to different fields, like health and entertainment. However, the composition of melodies with unlimited duration time and diversity is still an open question. This work aims to identify strategies to perform multiple affective transformations in melodies. Therefore, emotional models and the most implemented musical features in the literature are presented, as well as a evolutionary mono-objective model to an affective transformative system.