A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules
Ant colony optimization (ACO) is a metaheuristic approach inspired from the behaviour of natural ants and can be used to solve a variety of combinatorial optimization problems. Classification rule induction is one of the problems solved by the Ant-miner algorithm, a variant of ACO, which was initiat...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | https://etd.uum.edu.my/3289/1/RIZAUDDIN_SAIAN.pdf https://etd.uum.edu.my/3289/2/RIZAUDDIN_SAIAN_13.pdf https://etd.uum.edu.my/3289/ http://sierra.uum.edu.my/record=b1242349~S1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|