Abstract
We emphasize that interactive evolutionary computation (IEC) can be used not only to optimize a target system based on an IEC user’s subjective evaluations but also to analyze the characteristics of the IEC user. We introduce four research works as concrete examples of this new research direction: measuring a perceived range for emotional expressions, finding unknown auditory knowledge through hearing-aid fitting and cochlear implant fitting, and modeling of human awareness mechanism.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aoki, K., Takagi, H.: 3-D CG lighting with an interactive GA. In: 1st Int. Conf. on Conventional and Knowledge-based Intelligent Electronic Systems (KES 1997), Adelaide, Australia, pp. 296–301 (May 1997)
Aoki, K., Takagi, H.: Interactive GA-based design support system for lighting design in 3- D computer graphics. Trans. of IEICE J81-DII(7), 1601–1608 (1998) (in Japanese)
Dawkins, R.: The blind watchmaker. W. W. Norton & Company, Inc., New York (1986)
Ingu, T., Takagi, H.: Accelerating a GA convergence by fitting a single-peak function. In: IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 1999), Seoul, Korea, pp. 1415–1420 (August 5, 1999)
Jin, Y.: A comprehensive survey of fitness approximation in evolutionary computation. Soft Computing 9(1), 3–12 (2005)
Legrand, P., Bourgeois-Republique, C., Peán, V., et al.: Interactive evolution for cochlear implants fitting. Genetic Programming and Evolvable Machines 8(4), 319–354 (2007)
Pei, P., Takagi, H.: Fourier analysis of the fitness landscape for evoltionary search acceleration. In: IEEE Congress on Evolutionary Computation (CEC 2012), Brisbane, Australia, pp. 1–7 (June 2012)
Takagi, H.: Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation. Proceedings of the IEEE 89(9), 1275–1296 (2001)
Takagi, H., Ingu, T., Ohnishi, K.: Accelerating a GA convergence by fitting a single- peak function. J. of Japan Society for Fuzzy Theory and Intelligent Informatics 15(2), 219–229 (2003) (in Japanese)
Takagi, H., Takahashi, T., Aoki, K.: Applicability of interactive evolutionary computation to mental health measurement. In: IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC 2004), The Hague, the Netherlands, pp. 5714–5718 (October 2004)
Takagi, H., Ohsaki, M.: Interactive evolutionary computation-based hearing-aid fitting. IEEE Trans. on Evolutionary Computation 11(3), 414–427 (2007)
Takagi, H., Pallez, D.: Paired comparison-based interactive differential evolution. In: 1st World Congress on Nature and Biologically Inspired Computing (NaBIC 2009), Coimbatore, India, pp. 375–480 (December 2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Takagi, H. (2015). Interactive Evolutionary Computation for Analyzing Human Characteristics. In: Sinčák, P., Hartono, P., Virčíková, M., Vaščák, J., Jakša, R. (eds) Emergent Trends in Robotics and Intelligent Systems. Advances in Intelligent Systems and Computing, vol 316. Springer, Cham. https://doi.org/10.1007/978-3-319-10783-7_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-10783-7_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10782-0
Online ISBN: 978-3-319-10783-7
eBook Packages: EngineeringEngineering (R0)