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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006
eBook Chapter
1 An Approach for System Development Using Evolutionary Probabilistic Strategy and Grammar Rules
By
Zhaohong Wu
,
Zhaohong Wu
Department of Mechanical Engineering
University of Texas at Austin Austin
, Texas 78712-0292
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Benito R. Fernández
,
Benito R. Fernández
Department of Mechanical Engineering
University of Texas at Austin Austin
, Texas 78712-0292
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Matthew I. Campbell
Matthew I. Campbell
Department of Mechanical Engineering
University of Texas at Austin Austin
, Texas 78712-0292
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Page Count:
10
-
Published:2006
Citation
Wu, Z, Fernández, BR, & Campbell, MI. "An Approach for System Development Using Evolutionary Probabilistic Strategy and Grammar Rules." Intelligent Engineering Systems through Artificial Neural Networks, Volume 16. Ed. Dagli, CH, Buczak, AL, Enke, DL, Embrechts, M, & Ersoy, O. ASME Press, 2006.
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This research proposes a design method that combines a probability based decision strategy and design grammars (production rules) into a “design agent” for system development. This decision strategy can be evolved by applying a genetic algorithm (GA) to facilitate the exploration of a multi-domain design space in a topologically open-ended manner, and still efficiently find appropriate design configurations. Probability based decision making is applied at each stage of topology development. A design of a low pass filter is used as a case study. Experimental results show that a design agent demonstrates steady performance in terms of the overall fitness of...
Abstract
Introduction
Background
Representation in General
Grammar Rules for Bond Graph Generation
Case Study
Conclusions
References
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