Grammatical music composition with dissimilarity driven hill climbing

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{loughran2016grammatical,

• author = "Roisin Loughran and James McDermott and Michael O'Neill",
• title = "Grammatical music composition with dissimilarity driven hill climbing",
• booktitle = "EvoMusArt 2016",
• year = "2016",
• editor = "Colin Johnson and Vic Ciesielski and Jo{\~a}o Correia and Penousal Machado",
• volume = "9596",
• series = "Lecture Notes in Computer Science",
• pages = "110--125",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Algorithmic composition, Hill-climbing, Grammar",
• isbn13 = "978-3-319-31007-7",
• URL = "https://link.springer.com/chapter/10.1007/978-3-319-31008-4_8",
• DOI = "doi:10.1007/978-3-319-31008-4_8",
• abstract = "An algorithmic compositional system that uses hill climbing to create short melodies is presented. A context free grammar maps each section of the resultant individual to a musical segment resulting in a series of MIDI notes described by pitch and duration. The dissimilarity between each pair of segments is measured using a metric based on the pitch contour of the segments. Using a GUI, the user decides how many segments to include and how they are to be distanced from each other. The system performs a hill-climbing search using several mutation operators to create a population of segments the desired distances from each other. A number of melodies composed by the system are presented that demonstrate the algorithm's ability to match the desired targets and the versatility created by the inclusion of the designed grammar.",

}

Genetic Programming entries for Roisin Loughran James McDermott Michael O'Neill

Citations