An Enhanced Ant Colony Optimisation Algorithm with the Hellinger Distance for Shariah-Compliant Securities Companies Bankruptcy Prediction

• Main Authors: Zainol, Annuur Zakiah, Saian, Rizauddin, Teoh, Yeong Kin, Mohd Razali, Muhammad Hasbullah, Abu Bakar, Sumarni
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2024
• Subjects: QA75 Electronic computers. Computer science
• Online Access: https://repo.uum.edu.my/id/eprint/30346/1/JICT%2023%2001%202024%201-24.pdf; https://doi.org/10.32890/jict2024.23.1.1; https://repo.uum.edu.my/id/eprint/30346/; https://e-journal.uum.edu.my/index.php/jict/article/view/19852; https://doi.org/10.32890/jict2024.23.1.1

This study addresses the challenge of applying ant colony optimisation algorithms to imbalanced datasets, focusing on a bankruptcy dataset. The application of ant colony optimization (ACO) algorithms has been limited by their performance on imbalanced datasets, particularly within bankruptcy predict...