Analysis of the stagnation behavior of the interacted multiple ant colonies optimization framework
Search Stagnation is a common problem that all Ant Colony Optimization (ACO) algorithms suffer from regardless of their application domain. The framework of Interacted Multiple Ant Colonies Optimization (IMACO) is a recent proposition.It divides the ants’ population into several colonies and employs...
Saved in:
Main Authors: | Aljanaby, Alaa, Ku-Mahamud, Ku Ruhana |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/9248/1/a.pdf http://repo.uum.edu.my/9248/ http://www.acit2k.org/ACIT/index.php?option=com_content&task=view&id=297&Itemid=516 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Stagnation control using interacted multiple ant colonies
by: Aljanaby, Alaa, et al.
Published: (2009) -
Interacted multiple ant colonies optimization framework: An
experimental study of the evaluation and the exploration techniques to control the search stagnation
by: Aljanaby, Alaa, et al.
Published: (2010) -
An exploration technique for the interacted multiple ant colonies optimization framework
by: Aljanaby, Alaa, et al.
Published: (2010) -
Interacted multiple ant colonies optimization approach to enhance the performance of ant colony optimization algorithms
by: Aljanaby, Alaa, et al.
Published: (2010) -
Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
by: Aljanaby, Alaa, et al.
Published: (2010)