An introduction to evolutionary computing for musicians

Evolutionary Computer Music

Volumn , Issue , 2007, Pages 1-27

  Husbands, Phil ^a   Copley, Peter ^b   Eldridge, Alice ^a   Mandelis, James ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

^b OPEN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67650651561     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-84628-600-1_1     Document Type: Chapter

References (82)

1. Back, T., Hoffmeister, F. and Schwefel, H. (1991). A survey of evolution strategies. In R. Belew and L. Booker (Eds.), Proceedings of the 4th International Conference on GAs. Morgan Kaufmann, San Fransisco, CA, pp. 2-9.
2. Back, T. and Schwefel, H.-P. (1993). An overview of evolutionary algorithms for parameter optimization. Evolutionary Computation 1(1): 1-23.
3. Bagley, J. (1967). The Behaviour of Adaptive Systems that Employ Genetic and Correlation Algorithms. PhD Thesis, University of Michigan.
4. Beer, R.D. (1990). Intelligence as Adaptive Behaviour: An Experiment in Computational Neuroethology. Academic Press, New York.
5. Bentley, P.J. (Ed.) (1999). Evolutionary Design by Computers. Academic Press, London.
6. Biles, J. (1994). Genjam:Agenetic algorithm for generating jazz solos. In Proceedings of the International Computer Music Conference. Aarhus, Denmark. pp. 131-137. Available online at http://www.it.rit.edu/-jab/Genjam94/Paper.html.
7. Bilotta, E., Miranda, E. R., Pantano, P. and Todd, P. (Eds.) (2001). Proceedings of the ALMMA 2001: Artificial Life Models for Musical Applications Workshop, ECAL 2001.
8. Blackwell, T. and Young, M. (2004). Self-organised music. Organised Sound 9(2): 137-150.
9. Bown, O. and Lexer, S. (2006). Continuous-time recurrent neural networks for generative and interactive musical performance. In F. Rothlauf et al. (Eds.), Applications of Evolutionary Computing: Proceedings EvoWorkshops 2006, LNCS 3907, Springer, Berlin, pp. 652-664.
10. Burton, A.R. and Vladimirova, T. (1999). Generation of musical sequences with genetic techniques. Computer Music Journal 23(4): 59-73.
11. Collins, R. and Jefferson, D. (1991). Selection in massively parallel genetic algorithms. In Belew, R. and Booker, L. (Eds.), Proceedings of the 4th International Conference on GAs. Morgan Kaufmann, San Fransisco, CA, pp. 249-256.
12. Cook, N. (1990). Music, Imagination, and Culture. Clarendon Press, Oxford.
13. Cope, D. (2000). The Algorithmic Composer. A-R Editions, Wisconsin.
14. Dahlstedt, P. (2001). Creating and exploring huge parameter spaces: Interactive evolution as a tool for sound generation. In Proceedings of the International Computer Music Conference. Habana, Cuba.
15. Darwin, C. (1859). The Origin of Species. John Murray, London.
16. Davis, L. (1990). The Handbook of Genetic Algorithms. Van Nostrand Reinhold, Princeton, NJ.
17. Eiben, A.E. and Smith, J.E. (2003). Introduction to Evolutionary Computing. Springer, Berlin.
18. Eldridge, A.C. (2005). Cyborg dancing: Generative systems for man machine musical improvisation. In Proceedings of the Third Iteration. Melbourne, Australia.
19. Fisher, R.A. (1930). The Genetical Theory of Natural Selection. Clarendon Press, Oxford.
20. Fogel, L.J., Owens, A.J. and Walsh, M.J. (1966). Artificial Intelligence through Simulated Evolution. John Wiley, New York.
21. Garcia, R. (2001). Growing sound synthesizers using evolutionary methods. In E. Bilotta, E. R. Miranda, P. Pantano, and P. M. Todd (Eds.), Proceedings of ALMMA 2001 Workshop on Artificial Life Models for Musical Applications, Cosenza, Italy. Editoriale Bios, pp. 99-107.
22. Gartland-Jones, A. (2003). Music box: A real-time algorithmic composition system incorporating a distributed interactive genetic algorithm. In G. Raidl et al. (Eds.), Proceedings of the EvoWorkshops/EuroGP 2003. Springer, Berlin, pp. 490-501.
23. Gartland-Jones, A. and Copley, P. (2003). The suitability of genetic algorithms for musical composition. Contemporary Music Review 22(3): 43-55.
24. Gartland-Jones, A. and Copley, P. (2005). Musical form and algorithmic solutions. In Proceedings of the Creativity and Cognition Conference, Goldsmiths College, London.ACM, pp. 226-231.
25. Garnett, G.E. (2001). The aesthetics of interactive computer music. Computer Music Journal 25(1): 21-33.
26. Goldberg, D. (1989). Genetic Algorithms. Addison-Wesley, Reading, MA.
27. Grefenstette, J. (Ed.) (1987). Proceedings of the 2nd International Conference on GAs. Lawrence Erlbaum, Hillsdale, NJ.
28. Haldane, J.B.S. (1932). The Causes of Evolution, Longman, Green, London.
29. Hillis, W.D. (1990). Co-evolving parasites improve simulated evolution as an optimization procedure. Physica D 42: 228-234.
30. Hodgson, P. (1999). Modelling cognition in musical improvisation through evolution. In A. Patrizio, G.A. Wiggins and H. Pain (Eds.), Proceedings of the AISB'99 Symposium on Musical Creativity. SSAISB, Brightom, pp. 15-19.
31. Hodgson, P. (2002). Artificial evolution, music and methodology. In Proceedings of the 7th International Conference on Music Perception and Cognition. Sydney, pp. 244-248.
32. Holland, J. (1962). Outline for a logical theory of adaptive systems. Journal of the Association of Computing Machinery 3: 297-314.
33. Holland, J. (1966). Universal spaces: A basis for studies of adaptation. In E. Caianiello (Ed.), Automata Theory. Academic Press, New York, pp. 218-231.
34. Holland, J. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, MI.
35. Horner, A. and Goldberg, D. (1991). Genetic algorithms and computer assisted music composition. In R. Belew and L. Booker (Eds.), Proceedings of the 4th International Conference on GAs. Morgan Kaufmann, San Fransisco, CA, pp. 437-441.
36. Husbands, P. (1993).Anecosystems model for integrated production planning. International Journal of Computer Integrated Manufacturing 6(1/2): 74-86.
37. Huxley, J.S. (1942). Evolution: The Modern Synthesis. Allen and Unwin, London.
38. Jacob, B. (1996). Algorithmic composition as a model of creativity. Organised Sound 1(3): 157-165.
39. Jakobi, N. (1998). Evolutionary robotics and the radical envelope of noise hypothesis. Adaptive Behaviour 6: 325-368.
40. Johnson, C. (1999). Exploring the sound-space of synthesis algorithms using in interactive genetic algorithms. In A. Patrizio, G. Wiggins and H. Pain (Eds.), Proceedings of the AISB'99 Symposium on AI and Musical Creativity. SSAISB, Brighton.
41. Juilĺe, H. and Pollack, J.B. (1996). Co-evolving intertwined spirals. In Proceedings of the Fifth Annual Conference on Evolutionary Programming. MIT Press, Cambridge, MA, pp. 461-468.
42. Keller, H. (1987). Criticism. Faber & Faber, London.
43. Koza, J.R. (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA.
44. Langton, C. (1995). Artificial Life: An Overview. MIT Press, Cambridge, MA.
45. Lischka, C. (1991). Understanding music cognition: A connectionist view. In G. De Poli, A.
46. Piccialli and C. Roads (Eds.), Representations of Musical Signals. MIT Press, Cambridge, MA, pp. 417-445.
47. Machover, T. (1991). Program Notes for the International Computer Music Conference. International Computer Music Association, San Fransisco.
48. Machover, T. and Chung, J. (1989). Hyperinstruments: Musically intelligent and interactive performance and creativity systems. In Proceedings of the 1989 International Computer Music Conference. International Computer Music Association, San Francisco, pp. 186-190.
49. Mandelis, J. (2001). Genophone: An evolutionary approach to sound synthesis and performance. In E. Bilotta et al. (Eds.). Proceedings of ALMMA Workshop, pp. 37-50. Available online at http://www.cogs.susx.ac.uk/users/ jamesm/Papers/ECAL(2001)ALMMAMandelis.ps.
50. Mandelis, J. (2002). Adaptive hyperinstruments: Applying evolutionary techniques to sound synthesis and performance. In Proceedings of the NIME 2002: NewInterfaces for Musical Expression. Dublin, Ireland, pp. 192-193. Available online at http://www.cogs.susx.ac.uk/users/jamesm/Papers/NIME(2002)Mandelis.pdf.
51. Mandelis, J. and Husbands, P. (2003). Musical interaction with artificial life forms: Sound synthesis and performance mappings. Contemporary Music Review 22(3): 69-77.
52. McCormack, J. (2003). Evolving sonic ecosystems. Kybernetes: The International Journal of Systems & Cybernetics 32(1/2): 184-202.
53. Michalewicz, Z. and Fogel, D.B. (2004). How to Solve It: Modern Heuristics. Springer, Berlin.
54. Miranda, E. R. (2000). The art of rendering sounds from emergent behaviour: Cellular automata granular synthesis. In Proceedings of the 26th EUROMICRO Conference. Maastricht, The Netherlands (published by IEEE Computer Society).
55. Miranda, E.R. (2003). On the music of emergent behaviour: What can evolutionary computation bring to the musician? Leonardo 36(1): 55-59.
56. Mitchell, M. (1996). An Introduction to Genetic Algorithms. MIT Press, Cambridge, MA.
57. Morris, R.O. (1922). Contrapuntal Technique In The Sixteenth Century. Oxford University Press, Oxford.
58. Mulder, A. (1994). Virtual musical instruments: Accessing the sound synthesis universe as a performer. In Proceedings of the First Brazilian Symposium on Computer Music. Caxambu, Brazil, pp. 243-250.
59. Pollack, J., Bedau, M., Husbands, P., Ikegami T. andWatson R. (Eds.) (2004). Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems. MIT Press, Cambridge, MA.
60. Pressing, J. (1990). Cybernetic issues in interactive performance systems. Computer Music Journal 14(1): 12-25.
61. Rechenberg, I. (1965). Cybernetic SolutionPath of an Experimental Problem. Royal Aircraft Establishment Translation No. 1122, Ministry of Aviation, Farnborough.
62. Reynolds, C.W. (1987). Flocks, herds, and schools: A distributed behavioral model. Computer Graphics 21(4): 25-34.
63. Rosen, C. (1980). Sonata Forms. Norton, New York.
64. Rovan, J.B., Wanderley, M.M., Dubnov, S. and Depalle, P. (1997). Instrumental gestural mapping strategies as expressivity determinants in computer music performance. Presented at Kansei-The Technology of Emotion Workshop.
65. Schaal, S., Ijspeert, A., Billard, A., Vijayakumar, S., Hallam, J. and Meyer, J.-A. (2004). From animals to animats 8: Proceedings of the Eighth International Conference on the Simulation of Adaptive Behavior. MIT Press, Cambridge, MA.
66. Schmitt, L.M. (2001). Theory of genetic algorithms. Theoretical Computer Science 259: 1-61.
67. Schoenberg, A. (1967). In G. Strang (Ed.), Fundamentals of Musical Composition. Faber & Faber, London.
68. Sims, K. (1991). Artificial evolution for computer graphics. In Proceedings of the Siggraph '91. pp. 319-328.
69. Sims, K. (1994). Evolving 3D morphology and behavior by competition. In R. Brooks and P. Maes (Eds.), Proceedings Artificial Life IV. MIT Press, Cambridge, MA, pp. 28-39.
70. Singh, R.S. and Krimbas, C.B. (2000). Evolutionary Genetics: From Molecules to Morphology. Cambridge University Press, Cambridge.
71. Straus, J.N. (1990). Remaking the Past. Harvard Press, Cambridge, MA.
72. Todd, S. and Latham, W. (1992). Evolutionary Art and Computers. Academic Press, New York.
73. Turing, A.M. (1950). Computing machinery and intelligence. Mind LIX(236): 433-460.
74. Vose, M.D. (1999). The Simple Genetic Algorithm: Foundations and Theory. MIT Press, Cambridge, MA.
75. Werner, G.M. and Todd, P.M. (1997). Too many love songs: Sexual selection and the evolution of communication. In P. Husbands and I. Harvey (Eds.), Fourth European Conference on Artificial Life. MIT Press/Bradford Books, Cambridge, MA, pp. 434-443.
76. Werner, G. and Todd, P. (1998). Frankensteinian methods for evolutionary music composition. In N. Griffith and P. Todd (Eds.), Musical Networks: Parallel Distributed Perception and Performance. MIT Press/Bradford Books, Cambridge, MA, pp. 313-339.
77. Wessel, D. and Wright, M. (2000). Problems and prospects for intimate musical control of computers. Computer Music Journal 26(3): 11-22.
78. Wiggins, G., Papadopoulos, G., Phon-Amnuaisuk, S. and Tuson, A. (1998). Evolutionary methods for musical composition. In Proceedings of the CASYS98 Workshop on Anticipation, Music and Cognition. Liege, Belgium. Available online at http://www.soi.city.ac.uk/-geraint/papers/CASYS98a.pdf.
79. Winkler, T. (1991). Interactive signal processing for acoustic instruments. In Proceedings for the 1991 International Computer Music Conference. Computer Music Association, San Francisco, CA.
80. Woolf, S. (1999). Sound Gallery: An Interactive Artificial Life Artwork. MSc Thesis, School of Cognitive and Computing Sciences, University of Sussex, UK.
81. Wright, A.H;, Vose, M.D.; De Jong, K.A.;nd Schmitt, L.M. (Eds.) (2005). Foundations of Genetic Algorithms: 8th International Workshop, FOGA 2005. Lecture Notes in Computer Science, Vol. 3469, Springer, New York.
82. Yee-King, M. (2000). AudioServe-An Online System to Evolve Modular Audio Synthesis Circuits.MScThesis, School of Cognitive and Computing Sciences, University of Sussex, UK.