Hierarchical Evolutionary Synthesis of MEMS

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{fan:2004:hesom,

• title = "Hierarchical Evolutionary Synthesis of MEMS",
• author = "Zhun Fan and Erik Goodman and Jiachuan Wang and Ronald Rosenberg and Kisung Seo and Jianjun Hu",
• pages = "2320--2327",
• booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary Computation",
• year = "2004",
• publisher = "IEEE Press",
• month = "20-23 " # jun,
• address = "Portland, Oregon",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming, Evolutionary design \& evolvable hardware, Real-world applications",
• DOI = "doi:10.1109/CEC.2004.1331187",
• abstract = "In this paper, we discuss the hierarchy that is involved in a typical MEMS design and how evolutionary approaches can be used to automate the hierarchical design and synthesis process for MEMS. At the system level, the approach combining bond graphs and genetic programming can lead to satisfactory design candidates of system level models that meet the predefined behavioral specifications for designers to tradeoff. At the physical layout synthesis level, the selection of geometric parameters for component devices is formulated as a constrained optimization problem and addressed using a constrained GA approach. A multiple-resonator microsystem design is used to illustrate the integrated design automation idea using evolutionary approaches.",
• notes = "CEC 2004 - A joint meeting of the IEEE, the EPS, and the IEE.",

}

Genetic Programming entries for Zhun Fan Erik Goodman Jiachuan Wang Ronald C Rosenberg Kisung Seo Jianjun Hu

Citations