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A comparison of evolution-strategy based methods for frequency modulated musical tone timbre matching

Mitchell, Thomas J.

Authors

Tom Mitchell Tom.Mitchell@uwe.ac.uk
Associate Professor in Creative Technologies



Contributors

Ian Parmee ian.parmee@uwe.ac.uk
Editor

Abstract

We evaluate two Evolution Strategy-based optimisation algorithms that are known to perform well with multi-modal fitness landscapes, comparing them with each other and a standard Evolution Strategy. We apply these algorithms to a simple FM synthesiser timbre matching problem, which exhibits rugged multi-modal characteristics. All three algorithms are shown to be capable of finding globally optimal solutions. The Fuzzy Clustering Evolution Strategy is both computationally expensive and slow to converge. However, it produces globally optimal results with very high probability, compared with the other two algorithms. In contrast, whilst both the Evolution Strategy and the Cooperative Co-Evolution Strategy are significantly less computationally expensive, the Cooperative Co-Evolution Strategy is significantly quicker to converge than the other two.

Citation

Mitchell, T. J. (2006). A comparison of evolution-strategy based methods for frequency modulated musical tone timbre matching. In I. Parmee (Ed.), Adaptive Computing in Design and Manufacture: Proceedings of the Seventh International ConferenceInstitute for People-centred Computation (IP-CC)

Conference Name Proceedings of the 7th International Conference in Adaptive Computing in Design and Manufacture
Start Date Jun 8, 2019
End Date Jun 8, 2019
Publication Date Apr 24, 2006
Peer Reviewed Not Peer Reviewed
Book Title Adaptive Computing in Design and Manufacture: Proceedings of the Seventh International Conference
ISBN 978-0955288500
Keywords evolutionary strategy, frequency modulation, musical tone timbre matching
Publisher URL http://www.ip-cc.org.uk/

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