Journal article
Learning and re-using information in space layout planning problems using genetic engineering
Artificial intelligence in engineering, v 11(3), pp 329-334
1997
Abstract
We describe the use of a genetic engineering version of genetic algorithms as a natural tool for gathering and re-using information about some classes of design problems. This information is stored in the form of sets of ‘evolved genes’ which are linked to beneficial qualities of the ‘good’ designs within this class of problems. The approach is illustrated on a space layout planning problem.
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Details
- Title
- Learning and re-using information in space layout planning problems using genetic engineering
- Creators
- John S. Gero - The University of SydneyVladimir A. Kazakov - The University of Sydney
- Publication Details
- Artificial intelligence in engineering, v 11(3), pp 329-334
- Publisher
- Elsevier Ltd
- Number of pages
- 6
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:A1997WY80100013
- Scopus ID
- 2-s2.0-0031185489
- Other Identifier
- 991022157479404721