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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
Editor
Cihan H. Dagli
Cihan H. Dagli
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Anna L. Buczak
Anna L. Buczak
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David L. Enke
David L. Enke
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Mark Embrechts
Mark Embrechts
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Okan Ersoy
Okan Ersoy
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ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006

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 its designs. A superior design agent can easily produce designs of good quality and reach the best design.

Abstract
Introduction
Background
Representation in General
Grammar Rules for Bond Graph Generation
Case Study
Conclusions
References
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