Compressed Multideimensional Trees for Evolutionary Music Representation

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{ICMC2012_Pirnia_McCormack,

• author = "Abbas Pirnia and Jon Mccormack",
• title = "Compressed Multideimensional Trees for Evolutionary Music Representation",
• booktitle = "International Computer Music Conference",
• year = "2012",
• editor = "Matija Marolt and Martin Kaltenbrunner",
• pages = "608--613",
• address = "Ljubljana, Slovenia",
• month = "9-14 " # sep,
• organisation = "International Computer Music Association",
• keywords = "genetic algorithms, genetic programming, ADF, GP-Rep",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.298.7424",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.7424",
• URL = "http://www.csse.monash.edu.au/~jonmc/research/Papers/ICMC2012_Pirnia_McCormack.pdf",
• size = "6 pages",
• abstract = "This paper investigates the performance and suitability of evolutionary algorithms for music composition by enhancing representation schemes. First, we argue that genetic programming (GP) is well suited to capture higher order musical structures due to its hierarchical representation. Representational enhancements are proposed on the standard GP tree: considering different branches for different musical dimensions (pitch, duration, etc.), and making use of Automatically Defined Functions to define reusable patterns in the generated music. Each representation scheme is described, along with the role of genetic operators in evolving compact representations. Representations are compared for their ability to evolve a population over a range of different target melodies. The results illustrate performance improvements that result from the enhancements to the basic GP tree representation.",
• notes = "http://www.icmc2012.si/ http://computermusic.org/page/23/",

}

Genetic Programming entries for Abbas Pirnia Jon McCormack

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