Abstract
This paper outlines the development of an open source generic hardware-based interactive Genetic Algorithm controller (Eugene) and explores contexts in which it may be deployed. The system was first applied to the generation of synthetic sound using MIDI and a simple analogue synthesiser with 27 continuous controller values. It was then applied in the area of image evaluation using an image enhancer program with 7 continuous controller values. The system was evaluated by experimental observation of users attempting various tasks with different success criteria. This led to the identification of issues, some of which were specific to, and others divorced from the application domain. These are discussed together with areas for improvement.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975)
Hornby, G.S., Globus, A., Linden, D.S., Lohn, J.D.: Automated antenna design with evolutionary algorithms. In: AIAA Space, pp. 19–21 (2006)
Todd, S., Latham, W.: Evolutionary Art and Computers. Academic Press (1992)
Biles, J.: Genjam: a genetic algorithm for generating jazz solos. In: Proceedings of the International Computer Music Conference (1994)
Frowd, C.D., Hancock, P.J.B., Bruce, V., McIntyre, A.H., Pitchford, M., Atkins, R., Webster, A., Pollard, J., Hunt, B., Price, E., Morgan, S., Stoika, A., Dughila, R., Maftei, S., Sendrea, G.: Giving Crime the “evo”: Catching Criminals Using EvoFIT Facial Composites, pp. 36–43. IEEE (2010). doi:10.1109/EST.2010.38
Cho, S.-B.: Towards creative evolutionary systems with interactive genetic algorithm. Appl. Intell. 16, 129–138 (2002)
Biles, J.A., Eign, W.G.: GenJam Populi: Training an IGA via Audience-Mediated Performance, pp. 347–348. San Francisco, USA (1995)
Johnson, C.G.: Exploring the sound-space of synthesis algorithms using interactive genetic algorithms. In: Proceedings of the AISB’99 Symposium on Musical Creativity. Society for the Study of Artificial Intelligence and Simulation of Behaviour, pp. 20–27 (1999)
Takagi, H., Cho, S.-B., Noda, T.: Evaluation of an IGA-based image retrieval system using wavelet coefficients. In: 1999 IEEE International Fuzzy Systems Conference Proceedings. Presented at the Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE’99, pp. 1775–1780. IEEE (1999)
Masui, T.: Graphic object layout with interactive genetic algorithms. In: Proceedings of the 1992 IEEE Workshop on Visual Languages, pp. 74–80. IEEE (1992)
Collomosse, J.P.: Supervised Genetic Search for Parameter Selection in Painterly Rendering. EvoWorkshops 2006, 599–610 (2006)
McDermott, J., O’Neill, M., Griffith, N.J.: Interactive EC control of synthesized timbre. Evol. Comput. 18, 277–303 (2010)
Bauerly, M., Liu, Y.: Evaluation and improvement of interface aesthetics with an interactive genetic algorithm. Int. J. Human-Comput. Interact. 25, 155–166 (2009). doi:10.1080/10447310802629801
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
James-Reynolds, C., Currie, E. (2015). Eugene: A Generic Interactive Genetic Algorithm Controller. In: Bramer, M., Petridis, M. (eds) Research and Development in Intelligent Systems XXXII. SGAI 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-25032-8_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-25032-8_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25030-4
Online ISBN: 978-3-319-25032-8
eBook Packages: Computer ScienceComputer Science (R0)