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authors Balachandran, M.B.
year 1988
title A Model for Knowledge-Based Design Optimization [PhD dissertation]
source Dept. of Architectural Science, University of Sydney
summary Unpublished. CADLINE has abstract only. This dissertation is concerned with developments in design decision methodologies applied to computer-aided design. The major aim of this research was to design and develop a knowledge-based computer-aided optimization system that has the ability to emulate some of the human performances in design decision processes. The issues and problems involved in developing a knowledge-based system for design optimization are addressed. A knowledge-based methodology to aid design optimization formulation is investigated. The major issues considered include representation of design description, the variety of knowledge required for the formulation process, recognizing optimization formulations, and selection of appropriate algorithms. It is demonstrated that the knowledge-based control of numerical processes leads to efficient and improved decisions in design. In developing knowledge-based systems for computer-aided decision applications an effective human-machine interface is essential. A model for knowledge-based graphical interfaces is proposed. This model incorporates knowledge for graphics interpretation, extraction of features of graphics objects and identification of prototypical objects. An experimental system developed in Prolog and C is demonstrated in the domain of structural design. The system shows one way of combining knowledge-based systems technology with computer graphics and indicates how knowledge-based interfaces improve the system's interactive capabilities. Finally, the system, OPTIMA, is presented. The system is designed as an integrated knowledge-based decision system using frames, rule bases, menu inputs, algebraic computation and optimization algorithms. The system has been written in LISP, Prolog and C and implemented on SUN Microsystems workstations. The performance of the system is demonstrated using two example problems from the domains of structural and architectural design respectively. The knowledge-based approach to design optimization is shown to be considerably easier and more efficient than those using conventional programs.
keywords Knowledge Base, Systems, CAD, Representation, Design, Frames, Computer Graphics, User Interface, Decision Making
series CADline
references Content-type: text/plain
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