Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation

  • Raffi Kamalian
  • Hideyuki Takagi
  • Alice M. Agogino
Conference paper

DOI: 10.1007/978-3-540-24855-2_114

Volume 3103 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Kamalian R., Takagi H., Agogino A.M. (2004) Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation. In: Deb K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3103. Springer, Berlin, Heidelberg

Abstract

We combine interactive evolutionary computation (IEC) with existing evolutionary synthesis software for the design of micromachined resonators and evaluate its effectiveness using human evaluation of the final designs and a test for statistical significance of the improvements. The addition of IEC produces superior designs with fewer potential design or manufacturing problems than those produced through the evolutionary synthesis software alone as it takes advantage of the human ability to perceive design flaws that cannot currently be simulated. A user study has been performed to compare the effectiveness of the IEC enhanced software with the non-interactive software. The results show that the IEC-enhanced synthesis software creates a statistically significant greater number of designs rated best by users.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Raffi Kamalian
    • 1
  • Hideyuki Takagi
    • 2
  • Alice M. Agogino
    • 1
  1. 1.University of CaliforniaBerkeleyUSA
  2. 2.Kyushu UniversityFukuokaJapan