Abstract
We overview three research directions of interactive evolutionary computation (IEC). They are (1) extending IEC applications, (2) reducing IEC user fatigue by improving/ developing interface, algorithms, operators, frameworks, and others, and (3) using IEC as a tool for analyzing human characteristics.
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References
Takagi, H.: Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation. Proce. IEEE 89(9), 1275–1296 (2001)
Takagi, H., Takahashi, T., Aoki, K.: Applicability of interactive evolutionary computation to mental health measurement. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2004), The Hague, The Netherlands, pp. 5714–5718, 10–13 October 2004
Takagi, H.: Interactive evolutionary computation for analyzing human aware mechanism. Appl. Comput. Intell. Soft Comput. 2012 (2012) Article ID 694836, https://doi.org/10.1155/2012/694836
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Takagi, H. (2019). Three Research Directions of Interactive Evolutionary Computation. In: Ane, B., Cakravastia, A., Diawati, L. (eds) Proceedings of the 18th Online World Conference on Soft Computing in Industrial Applications (WSC18). WSC 2014. Advances in Intelligent Systems and Computing, vol 864. Springer, Cham. https://doi.org/10.1007/978-3-030-00612-9_1
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DOI: https://doi.org/10.1007/978-3-030-00612-9_1
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