Evolutionary optimization within an intelligent hybrid system for design integration

Su, D ORCID: https://orcid.org/0000-0002-9541-8869 and Wakelam, M, 1999. Evolutionary optimization within an intelligent hybrid system for design integration. Artificial Intelligence for Engineering Design, Analysis and Manufacturing Journal, 13 (5), pp. 351-363. ISSN 0890-0604

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Abstract

An intelligent hybrid approach has been developed to integrate various stages in total design, including formulation of product design specifications, conceptual design, detail design, and manufacture. The integration is achieved by blending multiple artificial intelligence (AI) techniques and CAD/CAE/CAM into a single environment. It has been applied into power transmission system design. In addition to knowledge-based systems and artificial neural networks, another AI technique, genetic algorithms (GAs), are involved in the approach. The GA is used to conduct optimization tasks: (1) searching the best combination of design parameters to obtain optimum design of gears, and (2) optimization of the architecture of the artificial neural networks used in the hybrid system. In this paper, after a brief overview of the intelligent hybrid system, the GA applications are described in detail.

Item Type:	Journal article
Alternative Title:	AI EDAM
Publication Title:	Artificial Intelligence for Engineering Design, Analysis and Manufacturing Journal
Creators:	Su, D. and Wakelam, M.
Publisher:	Cambridge University Press
Place of Publication:	Cambridge
Date:	1999
Volume:	13
Number:	5
ISSN:	0890-0604
Rights:	Copyright © 1999 Cambridge University Press
Divisions:	Schools > School of Architecture, Design and the Built Environment
Record created by:	EPrints Services
Date Added:	09 Oct 2015 09:40
Last Modified:	09 Jun 2017 13:07
URI:	https://irep.ntu.ac.uk/id/eprint/797

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