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Tuning struggle strategy in genetic algorithms for scheduling in computational grids

Autor
Xhafa, F.; Duran, B.; Abraham, A.; Dahal, K.
Tipus d'activitat
Article en revista
Revista
Neural network world
Data de publicació
2008-10
Volum
18
Número
3
Pàgina inicial
209
Pàgina final
225
DOI
https://doi.org/10.1109/CISIM.2008.54 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/abstract/document/4557877/ Obrir en finestra nova
Resum
Job Scheduling on Computational Grids is gaining importance due to the need for efficient large-scale Grid-enabled applications. Among different optimization techniques addressed for the problem, Genetic Algorithm (GA) is a popular class of solution methods. As GAs are high level algorithms, specific algorithms can be designed by choosing the genetic operators as well as the evolutionary strategies. In this paper we focus on Struggle GAs and their tuning for the scheduling of independent jobs in...
Paraules clau
Computational Grids, Genetic Algorithms, Scheduling
Grup de recerca
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals

Participants