A Genetic Programming Approach to Generating Musical Compositions

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Hofmann:2015:evoMusArt,

• author = "David M. Hofmann",
• title = "A Genetic Programming Approach to Generating Musical Compositions",
• booktitle = "4th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design",
• year = "2015",
• editor = "Colin Johnson and Adrian Carballal and Joao Correia",
• series = "LNCS",
• volume = "9027",
• publisher = "Springer",
• pages = "89--100",
• address = "Copenhagen",
• month = "8-10 " # apr,
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-319-16500-4",
• DOI = "doi:10.1007/978-3-319-16498-4_9",
• abstract = "Evolutionary algorithms have frequently been applied in the field of computer-generated art. In this paper, a novel approach in the domain of automated music composition is proposed. It is inspired by genetic programming and uses a tree-based domain model of compositions. The model represents musical pieces as a set of constraints changing over time, forming musical contexts allowing to compose, reuse and reshape musical fragments. The system implements a multi-objective optimisation aiming for statistical measures and structural features of evolved models. Furthermore a correspondent domain-specific computer language is introduced used to transform domain models to a comprehensive, human-readable text representation and vice versa. The language is also suitable to limit the search space of the evolution and as a composition language for human composers.",
• notes = "EvoMusArt2015 held in conjunction with EuroGP'2015, EvoCOP2015 and EvoApplications2015. http://www.evostar.org/2015/cfp_evomusart.php",

}

Genetic Programming entries for David M Hofmann

Citations