Paper draft:

"Interactive Evolutionary Computation: Fusion of the Capabilities of EC Optimization and Human Evaluation,"
Proceedings of the IEEE, vol.89, no.9, pp.1275-1296 (2001).

Hideyuki Takagi,
Kyushu University, Faculty of Design
4-9-1, Shiobaru, Minami-ku, Fukuoka 815-8540, Japan
Tel&Fax: +81-92-553-4555
E-mail: , URL: http://www.designkyushu-u.ac.jp/~takagi/
 

[1] ProcIEEE_3.pdf (English draft, 627KB) 

Official paper can be downloaded through IEEEXplore if you are IEEE member.

[2] ProcIEEE_JPN.pdf (Japanese draft, 720KB)

ABSTRACT: In this paper, we survey the research on interactive evolutionary computation (IEC). The IEC is an EC that optimizes systems based on subjective human evaluation. The definition and features of the IEC are first described and then followed by an overview of the IEC research. The overview primarily consists of application research and interface research. In this survey, the IEC application fields include graphic arts and animation, 3-D CG lighting, music, editorial design, industrial design, facial image generation, speech processing and synthesis, hearing aid fitting, virtual reality, media database retrieval, data mining, image processing, control and robotics, food industry, geophysics, education, entertainment, social system, and so on. Also in this survey, the interface research to reduce human fatigue includes improving fitness input interfaces and displays based on fitness prediction, accelerating EC convergence especially in early EC generations, examining combinations of interactive and normal EC, and investigating active user intervention. Finally, we discuss the IEC from the point of the future research direction of computational intelligence. In order to show the status quo IEC research, this paper primarily features a survey of about 250 IEC research papers rather than a carefully selected representation of a few papers.