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

Mitchell, Thomas J.

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.

• 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
• Deposit Date: Feb 17, 2011
• Publicly Available Date: Nov 15, 2016
• Peer Reviewed: Not Peer Reviewed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
• Public URL: https://uwe-repository.worktribe.com/output/1039725
• Publisher URL: http://www.ip-cc.org.uk/
• Contract Date: Nov 15, 2016