Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone
The artificial bee colony (ABC) is a well-studied algorithm developed to solve continuous function optimization problems by Karboga and Akay in 2009. ABC has been proven to be more effective than other biological-inspired algorithms with good exploration. However, ABC suffers from low exploitation a...
Saved in:
Main Authors: | Alaidi A.H., Der C.S., Leong Y.W. |
---|---|
Other Authors: | 57202605291 |
Format: | Article |
Published: |
International Association of Online Engineering
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation
mechanism
by: Aljanaby, Alaa, et al.
Published: (2008) -
Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
by: Aljanaby, Alaa, et al.
Published: (2010) -
Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
by: A., Aljanaby,, et al.
Published: (2015) -
Performance Enhancement Of Artificial Bee Colony Optimization Algorithm
by: Abro, Abdul Ghani
Published: (2013) -
Enhanced compact artificial bee colony
by: Banitalebi, Akbar, et al.
Published: (2015)