Low and high level hybridization of ant colony system and genetic algorithm for job scheduling in grid computing
Hybrid metaheuristic algorithms have the ability to produce better solution than stand-alone approach and no algorithm could be concluded as the best algorithm for scheduling algorithm or in general, for combinatorial problems.This study presents the low and high level hybridization of ant colony sy...
Main Authors: | Alobaedy, Mustafa Muwafak, Ku-Mahamud, Ku Ruhana |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/15572/1/PID164.pdf |
Similar Items
-
Hybrid ant colony system and genetic algorithm approach for scheduling of jobs in computational grid
by: Alobaedy, Mustafa Muwafak, et al.
Published: (2015) -
New heuristic function in ant colony system for job scheduling in grid computing
by: Ku-Mahamud, Ku Ruhana, et al.
Published: (2012) -
Ant colony algorithm for job scheduling in grid computing
by: Ku-Mahamud, Ku Ruhana, et al.
Published: (2010) -
Scheduling jobs in computational grid using hybrid ACS and GA approach
by: Alobaedy, Mustafa Muwafak, et al.
Published: (2014) -
Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid
by: Ku-Mahamud, Ku Ruhana, et al.
Published: (2012)