Design and measurement with interactive evolutionary computation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationSoft Computing as Transdisciplinary Science and Technology - Proceedings of the 4th IEEE International Workshop, WSTST 2005
Pages6-7
Number of pages2
EditionAISC
Publication statusPublished - 2005
Event4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology, WSTST 2005 - Muroran, Japan
Duration: May 25 2005May 27 2005

Publication series

NameAdvances in Soft Computing
NumberAISC
ISSN (Print)16153871
ISSN (Electronic)18600794

Other

Other4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology, WSTST 2005
CountryJapan
CityMuroran
Period5/25/055/27/05

All Science Journal Classification (ASJC) codes

  • Computational Mechanics
  • Computer Science Applications
  • Computer Science (miscellaneous)

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    Takagi, H. (2005). Design and measurement with interactive evolutionary computation. In Soft Computing as Transdisciplinary Science and Technology - Proceedings of the 4th IEEE International Workshop, WSTST 2005 (AISC ed., pp. 6-7). (Advances in Soft Computing; No. AISC).