A survey of mat-heuristics for combinatorial optimisation problems: Variants, trends and opportunities
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...
Saved in:
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: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A survey of mat-heuristics for combinatorial optimisation problems: Variants, trends and opportunities
by: Ngoo, Chong Man, et al.
Published: (2024) -
A Survey of university course timetabling problem: perspectives, trends and opportunities
by: Mei ching chen, et al.
Published: (2021) -
Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
by: Anniza, Hamdan, et al.
Published: (2023) -
Design Of Perturbative Hyper-Heuristics For Combinatorial Optimisation
by: Choong, Shin Siang
Published: (2019) -
Portfolio Optimization Problem: A Taxonomic Review of Solution Methodologies
by: Zi xuan loke, et al.
Published: (2023)