Evolutionary learning of novel grammars for design improvement
- 1 January 1994
- journal article
- research article
- Published by Cambridge University Press (CUP) in Artificial Intelligence for Engineering Design, Analysis and Manufacturing
- Vol. 8 (2) , 83-94
- https://doi.org/10.1017/s089006040000069x
Abstract
This paper focuses on that form of learning that relates to exploration, rather than generalization. It uses the notion of exploration as the modification of state spaces within which search and decision making occur. It demonstrates that the genetic algorithm formalism provides a computational construct to carry out this learning. The process is exemplified using a shape grammar for a beam section. A new shape grammar is learned that produces a new state space for the problem. This new state space has improved characteristics.Keywords
This publication has 1 reference indexed in Scilit:
- Experimental phased array radar ELRA with extended flexibilityIEEE Aerospace and Electronic Systems Magazine, 1990