Mono-objective Evolutionary Model for Affective Algorithmic Composition

Authors

  • Carla Sanches Nere dos Santos Universidade Federal de Ouro Preto, Brazil
  • Alan Robert Resende de Freitas Universidade Federal de Ouro Preto, Brazil

DOI:

https://doi.org/10.4114/intartif.vol25iss69pp139-158

Keywords:

Evolutionary Computing, Genetic Algorithm, Music computing, Affective Music 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.

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Published

2022-06-05

How to Cite

Sanches Nere dos Santos, C., & Robert Resende de Freitas, A. (2022). Mono-objective Evolutionary Model for Affective Algorithmic Composition. Inteligencia Artificial, 25(69), 139–158. https://doi.org/10.4114/intartif.vol25iss69pp139-158