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Details for article 70 of 195 found articles
| Title: |
Case injected genetic algorithms for learning across problems |
| Author: |
Louis, Sushil J. |
| Appeared in: |
Engineering optimization |
| Paging: | Volume 36 (2004) nr. 2 pages 237-247 |
| Year: |
2004-04 |
| Contents: |
Genetic algorithms (GAs) augmented with a case-based memory of past design problem-solving attempts are used to obtain better performance over time on sets of similar design problems. Rather than starting anew on each design, a GA's population is periodically injected with appropriate intermediate design solutions to similar, previously solved design problems. Experimental results on configuration design problems: the design of parity checker and adder circuits, demonstrate the performance gains from the approach and show that the system learns to take less time to provide quality solutions to a new design problem as it gains experience from solving other similar design problems. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 70 of 195 found articles
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