Ant colony optimization algorithm for rule based classification: Issues and potential

Ant colony optimization algorithm for rule based classification: Issues and potential

Classification rule discovery using ant colony optimization (ACO) imitates the foraging behavior of real ant colonies. It is considered as one of the successful swarm intelligence metaheuristics for data classification. ACO has gained importance because of its stochastic feature and iterative adapta...

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Bibliographic Details
Main Authors: Al-Behadili, Hayder Naser Khraibet, Ku-Mahamud, Ku Ruhana, Sagban, Rafid
Format: Article
Language:English
Published: Little Lion Scientific 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/27870/1/JTAIT%2096%2021%202018%207139%207150.pdf
http://repo.uum.edu.my/27870/
http://www.jatit.org/volumes/ninetysix21.php
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Institution: Universiti Utara Malaysia
Language: English

Internet

http://repo.uum.edu.my/27870/1/JTAIT%2096%2021%202018%207139%207150.pdf
http://repo.uum.edu.my/27870/
http://www.jatit.org/volumes/ninetysix21.php

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