Evolving Indirectly Represented Melodies with Corpus-Based Fitness Evaluation

Authors:
Jacek Wolkowicz;Malcolm Heywood;Vlado Keselj
Affiliations:
Faculty of Computer Science, Dalhousie University, Halifax NS, Canada B3H 1W5;Faculty of Computer Science, Dalhousie University, Halifax NS, Canada B3H 1W5;Faculty of Computer Science, Dalhousie University, Halifax NS, Canada B3H 1W5
Venue:
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
Year:
2009

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Abstract

The paper addresses the issue of automatic generation of music excerpts. The character of the problem makes it suitable for various kinds of evolutionary computation algorithms. We introduce a special method of indirect melodic representation that allows simple application of standard search operators like crossover and mutation with no repair mechanisms necessary. A method is proposed for automatic evaluation of melodies based upon a corpus of manually coded examples, such as classical music opi. Various kinds of Genetic Algorithm (GA) were tested against this e.g., generational GAs and steady-state GAs. The results show the ability of the method for further applications in the domain of automatic music composition.