- Page 1 and 2: Mitchell, T. J. (2010) An explorati
- Page 3 and 4: Acknowledgments With so many people
- Page 5 and 6: Abstract With the ever-increasing c
- Page 7 and 8: 4 A Clustering-Based Niching Evolut
- Page 9 and 10: 7.7.1.3 Contrived Matching with Tim
- Page 11 and 12: 5.10: Mean and 95% confidence inter
- Page 13 and 14: List of Tables 4.1: MTQ function pa
- Page 15 and 16: To experimental musicians lacking t
- Page 17: 1.1.2 Frequency Modulation Audio Sy
- Page 21 and 22: 1.3 Contributions In satisfying the
- Page 23 and 24: Chapter 2 Background: Evolutionary
- Page 25 and 26: Figure 2.1: The evolutionary model
- Page 27 and 28: 2.3 Canonical Evolutionary Algorith
- Page 29 and 30: it position (locus) may be absent o
- Page 31 and 32: t = 0; initialise P μ(t); loop beg
- Page 33 and 34: When The benefit of (intermediate)
- Page 35 and 36: sphere, or hypersphere, dependent u
- Page 37 and 38: the rule may only be applied when a
- Page 39 and 40: Firstly, there is no guarantee that
- Page 41 and 42: As the research field of evolutiona
- Page 43 and 44: five of this thesis are based. The
- Page 45 and 46: sparsely throughout the search spac
- Page 47 and 48: Selection Pressure - The rate at wh
- Page 49 and 50: enable the formation of species, it
- Page 51 and 52: 3.4.1.2 Restricted Tournament selec
- Page 53 and 54: over the landscape, and the dilutin
- Page 55 and 56: Species 1 Genus Figure 3.2: Meta-ES
- Page 57 and 58: diffusion model, on the other hand,
- Page 59 and 60: fitness Niche Centre Figure 3.4: Ni
- Page 61 and 62: also applied within each subpopulat
- Page 63 and 64: outperformed by a simple GA. A seco
- Page 65 and 66: 4.1 The Fuzzy Clustering Evolution
- Page 67 and 68: membership to each cluster. In prac
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Fuzzy Intermediate Recombination -
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Parents are subsequently merged and
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4.2.3 New Recombination Operators T
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Global - the ability of the algorit
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period in which all sub-populations
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4.3.2.1 Experiments on the Multimod
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Discussion The canonical ES variant
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Results (20+140) / CES / discrete /
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function. The parameters for the fi
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Discussion The results acquired fro
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these experiments as the quantity o
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Performance Criteria In assessing t
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discrete recombination is employed;
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Figure 4.15: Mean and 95% confidenc
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Discussion These results corroborat
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Figure 4.19: Mean and 95% confidenc
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partitioned into five clusters, the
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However, the question arises as to
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The most consistent finding of Wieg
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Wiegand demonstrated that a pseudo-
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accurate approximation of an interv
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cooperating subpopulation into mult
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5.3.1.1 Collaboration One notable d
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If one representative is selected f
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The CCCES algorithm begins by initi
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For the subsequent experiments, the
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Discussion The results shown in tab
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Figure 5.7: Maximum-fitness curve f
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dimensional multimodal function wit
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From the results shown in Table 5.3
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that, as the dimensionality of the
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only a moderate increase in fitness
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It is interesting that the results
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Niching - it is desirable that mult
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6.2 Synthesiser Choice Since the fo
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Modulating Oscillators Carrier Osci
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6.4 Sound Synthesis Applications of
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with results again presented using
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employed by commercial synthesis ma
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While these metrics are able to suc
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Unlike the metrics considered in se
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Figure 6.6 provides a plot of the l
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6.5 Summary of this Chapter In this
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constant spectral form as static to
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Figure 7.2a represents the most fun
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7.3 Evolutionary Matching Synthesis
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If the frame size is assigned a pow
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an exhaustive search yields no bett
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CCES, in which each dimension of th
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7.6.1.1 Contrived Matching with Sin
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elative spectral error ranged from
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the second, where the parameters fo
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Discussion Figure 7.8: Mean and 95%
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and relative spectrum error is exam
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The flat spectrum produced by the a
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Matching Model Single Simple FM Dou
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Acoustic Target Matching Results Fi
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Figure 7.17: Muted trumpet tone (to
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Performance Criteria As before, res
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indicated the discreet recombinatio
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7.7.1.3 Contrived Matching with Tim
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(a): Target sound time waveform (b)
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Matching Model Single Simple FM Dou
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Algorithmic Parameters Oboe Target
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The frequency spectrograms are plot
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Frequency (Hz) Frequency (Hz) Frequ
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Amplitude (dB) Amplitude (dB) Figur
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Chapter 8 Listening Tests Despite t
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Amplitude (dB) Amplitude (dB) Ampli
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Listening Test One - Similarity Ran
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frequency harmonics well but the mi
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Listening Test Two - General Sound
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Figure 8.6c: Listening test two ins
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The FM sound produced by the matchi
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Frequency (Hz) Amplitude four descr
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Frequency (Hz) Amplitude (a) Violin
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capabilities of the triple simple F
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Chapter 9 Conclusions and Further W
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environments. It was shown that the
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Also included in chapter seven, was
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matching algorithm to probe the und
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The author hopes that this work goe
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Bäck, T., and Schutz, M. (1996) In
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Chowning, J. M. (1973) The synthesi
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Eshelman, L. J. (1990) The CHC Adap
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Hanagandi, V. and Nikolaou, M. (199
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Huband, S., Hingston, P., While L.
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Lim, S. M. and B. T. G. Tan. (1999)
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Miller, B. L., and Goldberg, D. E.
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Popovici, E. and De Jong, K. (2005)
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Rudolph, G (1991) Global Optimizati
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Tan, B. T. G. and S. M. Lim, (1996)
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Wiegand, R. P., and Sarma, J. (2004
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Appendix 1 - Listening Test 1 - Res