Solving grid scheduling problem using an amalgam of swarm and traditional approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s12046-021-01725-x.pdf
Reference24 articles.
1. Foster I and Kesselman C 1999 The grid: blueprint for a future computing infrastructure. San Mateo: Morgan Kaufmann Publisherso
2. Ullman J D 1975 NP-complete scheduling problems. Journal of Computer and System Sciences 10(3): 384–393
3. Molaiy S and Effatparvar M 2014 Scheduling in grid systems using ant colony algorithm. International Journal of Computer Network and Information Security 6(2): 19
4. Kim S S, Byeon J H, Liu H, Abraham A and McLoone S 2013 Optimal job scheduling in grid computing using efficient binary artificial bee colony optimization. Soft Computing 17(5): 867–882
5. Eberhart R and Kennedy J 1995 Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, pp. 1942–1948
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1. Case studies on the applications of the artificial bee colony algorithm;Sādhanā;2024-04-25
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