Improving genetic algorithms' efficiency using intelligent fitness functions
Genetic Algorithms are an effective way to solve optimisation problems. If the fitness test takes a long time to perform then the Genetic Algorithm may take a long time to execute. Using conventional fitness functions Approximately a third of the time may be spent testing individuals that have alrea...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Default Conference proceeding |
| Published: |
2003
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/12885 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|