PGGA: a predictable and grouped genetic algorithm for job scheduling

Journal article

Li, M., Yu, B. and Qi, M. 2006. PGGA: a predictable and grouped genetic algorithm for job scheduling. Future Generation Computer Systems. 22 (5), pp. 588-599. https://doi.org/10.1016/j.future.2005.09.001
AuthorsLi, M., Yu, B. and Qi, M.
KeywordsJob scheduling, Job workload estimation, Divisible load theory, Predictable genetic algorithm, Load balancing
Year2006
JournalFuture Generation Computer Systems
Journal citation22 (5), pp. 588-599
PublisherElsevier
ISSN0167-739X
Digital Object Identifier (DOI)https://doi.org/10.1016/j.future.2005.09.001
Publication dates
PrintApr 2006
Publication process dates
Deposited23 Mar 2011
Output statusPublished
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https://repository.canterbury.ac.uk/item/852y4/pgga-a-predictable-and-grouped-genetic-algorithm-for-job-scheduling

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