Optimizing knowledge-based system design

H. Liu, W. Wen, C. D. Rowles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The authors present an approach to optimizing the design of a knowledge-based design (KBD) system so that it produces optimal or near-optimal results. It is subjective in nature, however, as a KBD system's performance is often justified by the examination of its designs by experts. One alternative, as shown here, is to apply the simulated annealing technique (SA) in designing a KBD system. During the design of a KBD system, two designs by a KBD system and a SA system are independently generated. The solution generated by the SA system is then used to critique a solution from the KBD system. To some extent, an objective measure is brought into the design of a KBD system. The authors investigate this SA-KBD approach in a telephone cable network design domain, and the results are encouraging.

Original languageEnglish (US)
Title of host publicationProceedings of the Conference on Artificial Intelligence Applications
PublisherPubl by IEEE
Pages269-274
Number of pages6
ISBN (Print)0818621354
StatePublished - Feb 1 1990
EventProceedings of the 7th IEEE Conference on Artificial Intelligence Applications - Miami Beach, FL, USA
Duration: Feb 24 1991Feb 28 1991

Publication series

NameProceedings of the Conference on Artificial Intelligence Applications

Other

OtherProceedings of the 7th IEEE Conference on Artificial Intelligence Applications
CityMiami Beach, FL, USA
Period2/24/912/28/91

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ASJC Scopus subject areas

  • Software

Cite this

Liu, H., Wen, W., & Rowles, C. D. (1990). Optimizing knowledge-based system design. In Proceedings of the Conference on Artificial Intelligence Applications (pp. 269-274). (Proceedings of the Conference on Artificial Intelligence Applications). Publ by IEEE.