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    Composing first species counterpoint with a variable neighbourhood search algorithm 
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    • Composing first species counterpoint with a variable neighbourhood search algorithm
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    • Centre for Digital Music (C4DM)
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    Composing first species counterpoint with a variable neighbourhood search algorithm

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    Submitted version (775.9Kb)
    Volume
    6
    Pagination
    169 - 189
    DOI
    10.1080/17513472.2012.738554
    Journal
    Journal of Mathematics and the Arts
    Issue
    4
    ISSN
    1751-3472
    Metadata
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    Abstract
    In this article, a variable neighbourhood search (VNS) algorithm is developed that can generate musical fragments consisting of a melody for the cantus firmus and the first species counterpoint. The objective function of the algorithm is based on a quantification of existing rules for counterpoint. The VNS algorithm developed in this article is a local search algorithm that starts from a randomly generated melody and improves it by changing one or two notes at a time. A thorough parametric analysis of the VNS reveals the significance of the algorithm's parameters on the quality of the composed fragment, as well as their optimal settings. A comparison of the VNS algorithm with a developed genetic algorithm shows that the VNS is more efficient. The VNS algorithm has been implemented in a user-friendly software environment for composition, called Optimuse. Optimuse allows a user to specify a number of characteristics such as length, key and mode. Based on this information, Optimuse 'composes' both cantus firmus and first species counterpoint. Alternatively, the user may specify a cantus firmus, and let Optimuse compose the accompanying first species counterpoint. © 2012 Taylor & Francis.
    Authors
    Herremans, D; Sörensen, K
    URI
    http://qmro.qmul.ac.uk/xmlui/handle/123456789/11799
    Collections
    • Centre for Digital Music (C4DM) [210]
    Licence information
    “The final publication is available at http://www.tandfonline.com/doi/abs/10.1080/17513472.2012.738554”
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