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Mitchell, T. J. (2010) An exploration of evolutionary computation ...

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coinciding partials: constructive and destructive interference respectively. If the ratio <strong>of</strong> the<br />

carrier to modulating frequency is a rational number, these reflections produce an<br />

arithmetic series <strong>of</strong> sinusoidal partials with frequencies at integer multiples <strong>of</strong> a<br />

fundamental frequency: the so-called harmonic spectrum. Conversely, when the ratio is<br />

irrational, reflections are positioned between the positive frequency components to produce<br />

a non-harmonic spectrum. With so few parameters with which to control such a wide range<br />

<strong>of</strong> timbres, combined with the non-linear effects outlined above, FM has become widely<br />

regarded as a difficult synthesis type to control (Kronland-Martinet et al, 2001), (Horner,<br />

2003), (Delprat, 1997), (Payne, 1987). Consequently, a fair proportion <strong>of</strong> the work in this<br />

thesis is concerned with the development <strong>of</strong> algorithms that are designed to evolve<br />

solutions to complex real-world multimodal static optimisation problems. Thus, the<br />

fundamental research question that motivates this research is as follows:<br />

Can <strong>evolutionary</strong> algorithms be created and employed to locate multiple distinct<br />

matches <strong>of</strong> a given target sound, with conventional frequency modulation audio<br />

synthesis structures?<br />

1.2 Objectives<br />

To introduce the work set out in the following chapters, the principal objectives which<br />

have directed this research are enumerated below.<br />

1. To explore the potential for <strong>evolutionary</strong> <strong>computation</strong> as a mechanism for<br />

parameter estimation with frequency modulation synthesis.<br />

2. To assess and develop optimisation algorithms suitable for optimising multiple sets<br />

<strong>of</strong> frequency modulation synthesis parameters that approximate a given target<br />

sounds.<br />

3. To develop a testing method that enables algorithmic performance to be measured<br />

quantitatively in application to sound matching problems.<br />

7

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