Tuning struggle strategy in genetic algorithms for scheduling in computational grids
Tuning struggle strategy in genetic algorithms for scheduling in computational grids
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Full title
Tuning struggle strategy in genetic algorithms for scheduling in computational grids
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Date
2008
Language
English
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Contents
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 genet...
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Full title
Tuning struggle strategy in genetic algorithms for scheduling in computational grids
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TN_cdi_csuc_recercat_oai_recercat_cat_2072_309933
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_csuc_recercat_oai_recercat_cat_2072_309933
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ISSN
1210-0552
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