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...
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | الإنجليزية الإنجليزية |
| منشور في: |
2013
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://etd.uum.edu.my/3289/1/RIZAUDDIN_SAIAN.pdf https://etd.uum.edu.my/3289/2/RIZAUDDIN_SAIAN_13.pdf |