Abstract
A knowledge-based global optimization scheme, well-suited for the cross-sections of cold-formed steel structures was developed. The scheme operated within a low-dimensional expert system and used a numerical implementation of the direct strength method (DSM) for the objective function. The expert knowledge for the optimization process was evaluated and added using the feature-based classification trees which indicated the need for tip lengths etc. An expert-based feature space and its associated classification tree effectively encapsulated the knowledge gained in the design optimization.
Original language | English (US) |
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Pages (from-to) | 785-801 |
Number of pages | 17 |
Journal | Thin-Walled Structures |
Volume | 42 |
Issue number | 6 |
DOIs | |
State | Published - Jun 2004 |
Externally published | Yes |
Keywords
- Classifier model
- Cold-formed steel
- Global optimization
- Knowledge
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
- Mechanical Engineering