@inproceedings{d0d983fff8e24775b6865e0d22a7012c,
title = "Graph-Based Mutations for Music Generation",
abstract = "Our study aims to compare the effects of direct mutation and graph-based mutation on representations of music domain. We focus on short tunes from the Irish folk tradition, represented as integer sequences, and use a graph-based representation based on Pathway Assembly (a directed acyclic graph) and the Sequitur algorithm. We define multiple mutation operators to work directly on the sequences or on the graphs, hypothesizing that graph-based mutations will tend to preserve the pattern used per tune, while direct mutation of sequences will tend to destroy patterns, resulting in new generated tunes that are more complex. We perform experiments on a corpus of tunes and apply the mutation operators many times consecutively to analyze their effects.",
keywords = "genetic algorithm, genetic programming, graph-based mutation, music generation, Pathway Assembly, Sequitur",
author = "Maziar Kanani and Se{\'a}n O{\textquoteright}Leary and James McDermott",
note = "Publisher Copyright: {\textcopyright} 2023 Copyright held by the owner/author(s).; 2023 Genetic and Evolutionary Computation Conference Companion, GECCO 2023 Companion ; Conference date: 15-07-2023 Through 19-07-2023",
year = "2023",
month = jul,
day = "15",
doi = "10.1145/3583133.3596318",
language = "English",
series = "GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion",
publisher = "Association for Computing Machinery (ACM)",
pages = "1916--1919",
booktitle = "GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion",
address = "United States",
}