Learning and re-using information in space layout planning problems using genetic engineering

Artificial Intelligence in Engineering

Volumn 11, Issue 3 SPEC. ISS., 1997, Pages 329-334

  Gero, John S ^a   Kazakov, Vladimir A ^a  

^a NONE

Author keywords

Evolved genes; Genetic algorithms; Genetic engineering; Space layout planning

Indexed keywords

SPACE LAYOUT PLANNING;

GENETIC ALGORITHMS; GENETIC ENGINEERING; KNOWLEDGE ACQUISITION;

COMPUTER AIDED DESIGN;

EID: 0031185489     PISSN: 09541810     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0954-1810(96)00051-9     Document Type: Article

References (9)

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3. Sofer, W. H., Introduction to Genetic Engineering. Butterworth-Heinemann, Stoneham, 1991.
4. Gero, J. S. & Kazakov, V., Evolving building blocks for genetic algorithms using genetic engineering. Proceedings of the IEEE Conference on Evolutionary Computing. 1995, pp. 340-5.
5. Sankoff, D. & Kruskal, J. B. (eds), Time Warps, String and Macromolecules: the Theory and Practice of Sequence Comparison. Addison-Wesley, Reading, MA, 1983.
6. Gero, J. S. & Kazakov, V., Evolving design genes in space layout planning problems. Artificial Intelligence in Engineering (in press).
7. Liggett, R. S., Optimal spatial arrangement as a quadratic assignment problem. In Design Optimization, Ed. J. S. Gero. Academic Press, New York, 1985, pp. 1-40.
8. Meller, R. & Gau, K. Y., The facility layout problem: recent and emerging trends and perspectives. Journal of Manufacturing Systems (in press).
9. Gero, J. S., Design tools that learn: A possible CAD future. In Information Processing in Civil and Structural Design, ed. B. Kumar. Civil-Comp Press, Edinburgh, 1996, pp. 17-22.