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Meta-schedulers for grid computing based on multi-objective swarm algorithms.

, , and . Appl. Soft Comput., 13 (4): 1567-1582 (2013)

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Energy optimization for task scheduling in distributed systems by an Artificial Bee Colony approach., and . NaBIC, page 127-132. IEEE, (2014)Multi-objective Grid Scheduling., and . Automated Scheduling and Planning, volume 505 of Studies in Computational Intelligence, Springer, (2013)Small-World Optimization Applied to Job Scheduling on Grid Environments from a Multi-Objective Perspective., , and . EvoApplications, volume 7248 of Lecture Notes in Computer Science, page 42-51. Springer, (2012)Evaluation of multi-source downloads for FTS., , , , and . RoEduNet, page 1-6. IEEE, (2017)A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems., and . ICANNGA, volume 7824 of Lecture Notes in Computer Science, page 70-79. Springer, (2013)Swarm approach based on gravity for optimizing energy savings in grid systems., and . J. Heuristics, 20 (6): 617-641 (2014)Multi-Objective Artificial Bee Colony for scheduling in Grid environments., , and . SWIS, page 206-212. IEEE, (2011)Multiobjective Small-World Optimization for Energy Saving in Grid Environments., and . Comput. J., 58 (3): 432-447 (2015)Evaluation of multiobjective swarm algorithms for grid scheduling., , and . ISDA, page 1104-1109. IEEE, (2011)Meta-schedulers for grid computing based on multi-objective swarm algorithms., , and . Appl. Soft Comput., 13 (4): 1567-1582 (2013)