A survey of mat-heuristics for combinatorial optimisation problems: Variants, trends and opportunities

• Main Authors: Chong, Man Ngoo, Goh, Say Leng, Sze, San Nah, Nasser R. Sabar, Mohd Hanafi Ahmad Hijazi, Graham Kendall
• Format: Article
• Language: English; English
• Published: Elsevier 2024
• Subjects: QA1-939 Mathematics; QA75.5-76.95 Electronic computers. Computer science
• Online Access: https://eprints.ums.edu.my/id/eprint/41928/1/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/41928/2/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/41928/; https://doi.org/10.1016/j.asoc.2024.111947

This survey paper presents an overview of recent application of mat-heuristics on combinatorial optimisation problems (COPs) from 2018 to 2024. In this review, we categorise the mat-heuristics into six categories based on three integration types (loose, tight and multi) and two approaches (direct an...