A novel explanatory hybrid artificial bee colony algorithm for numerical function optimization

A novel explanatory hybrid artificial bee colony algorithm for numerical function optimization

Over the past few decades, there has been a surge of interest of using swarm intelligence (SI) in computer-aided optimization. SI algorithms have demonstrated their efcacy in solving various types of real-world optimization problems. However, it is impossible to fnd an optimization algorithm that ca...

Full description

Saved in:
Bibliographic Details
Main Authors: Jarrah, Muath Ibrahim, Mohamad Jaya, Abdul Syukor, Mohd Abid, Mohd Asyadi Azam, Alqattan, Zakaria N., Azam, Mohd Asyadi, Abdullah, Rosni, Jarrah, Hazim, Abu‑Khadrah, Ahmed Ismail
Format: Article
Language:English
Published: Springer Nature 2020
Online Access:http://eprints.utem.edu.my/id/eprint/24751/2/2020%20A%20NOVEL%20EXPLANATORY%20HYBRID%20ARTIFICIAL%20BEE%20COLONY%20ALGORITHM%20FOR%20NUMERICAL%20FUNCTION%20OPTIMIZATION.PDF
http://eprints.utem.edu.my/id/eprint/24751/
https://link.springer.com/article/10.1007/s11227-019-03083-2
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknikal Malaysia Melaka
Language: English

Internet

http://eprints.utem.edu.my/id/eprint/24751/2/2020%20A%20NOVEL%20EXPLANATORY%20HYBRID%20ARTIFICIAL%20BEE%20COLONY%20ALGORITHM%20FOR%20NUMERICAL%20FUNCTION%20OPTIMIZATION.PDF
http://eprints.utem.edu.my/id/eprint/24751/
https://link.springer.com/article/10.1007/s11227-019-03083-2

Similar Items