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...

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Bibliographic Details
Main Author: Rizauddin, Saian
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
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