Design and Measurement with Interactive Evolutionary Computation
Hideyuki Takagi: Design and Measurement with Interactive Evolutionary Computation. The Fourth IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST2005), Muroran, Hokkaido, Japan, Springer-Verlag, pp.6-7 (May25-27, 2005).
Following the overview of Interactive Evolutionary Computation (IEC) research, three recent topics are introduced: micro-electrical mechanical systems (MEMS) design with IEC, psychological measurement with IEC, and extended IEC with physiological feedback. IEC is an optimization system that optimizes a target system based on human subjective evaluation. There are many systems whose performances for system optimization are not measurable but can be evaluated by humans when we hear, see, or touch the system outputs. IEC is a technology that is applicable to such systems. It is widely used now and some of its applications include generating computer graphics (CG), music, or artistic design, designing acoustic or image processing filters, controlling virtual reality or robotics, designing in engineering, and others. First, we review this status-quo of IEC research.