New heuristic function in ant colony system for the travelling salesman problem
Ant Colony System (ACS) is one of the best algorithms to solve NP-hard problems.However, ACS suffers from pheromone stagnation problem when all ants converge quickly on one sub-optimal solution.ACS algorithm utilizes the value between nodes as heuristic values to calculate the probability of choosi...
Saved in:
Main Authors: | Alobaedy, Mustafa Muwafak, Ku-Mahamud, Ku Ruhana |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/6966/1/P10_-_ICCCT.pdf http://repo.uum.edu.my/6966/ http://www.gconference.net/eng/conference_view.html?no=35577&location=02&rDay=11012012 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ant colony system with heuristic function for the travelling salesman problem
by: Alobaedy, Mustafa Muwafak, et al.
Published: (2013) -
New heuristic function in ant colony system for job scheduling in grid computing
by: Ku-Mahamud, Ku Ruhana, et al.
Published: (2012) -
New heuristic function in ant colony system algorithm
by: Ku-Mahamud, Ku Ruhana, et al.
Published: (2012) -
Hybrid ant colony system and genetic algorithm approach for scheduling of jobs in computational grid
by: Alobaedy, Mustafa Muwafak, et al.
Published: (2015) -
Interacted multiple ant colonies optimization approach for the single machine total weighted tardiness problem
by: Aljanaby, Alaa, et al.
Published: (2011)