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Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005 REDUCED HUMAN FATIGUE INTERACTIVE EVOLUTIONARY
 

Summary: Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005
REDUCED HUMAN FATIGUE INTERACTIVE EVOLUTIONARY
COMPUTATION FOR MICROMACHINE DESIGN
RAFFI KAMALIAN1
, YING ZHANG2
, HIDEYUKI TAKAGI1
, ALICE M. AGOGINO2
1
Faculty of Design, Kyushu University, Fukuoka 815-8540, Japan
2
Berkeley Experts Systems Technology Lab, University of California Berkeley, Berkeley, CA, 97420, USA
E-MAIL: raffi@design.kyushu-u.ac.jp, yzh@berkeley.edu, takagi@design.kyushu-u.ac.jp, agogino@berkeley.edu
Abstract:
This paper presents a novel method of using Interactive
Evolutionary Computation (IEC) for the design of
Microelectromechanical Systems (MEMS). A key limitation of
IEC is human fatigue. Based on the results of a study of a
previous IEC MEMS tool, an alternate form that requires less
human interaction is presented. The method is applied on top
of a conventional multi-objective genetic algorithm, with the

  

Source: Agogino, Alice M. - Department of Mechanical Engineering, University of California at Berkeley

 

Collections: Engineering