PGGA: a predictable and grouped genetic algorithm for job scheduling

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Original language	English
Pages (from-to)	588-599
Journal	Future Generation Computer Systems
Volume	22
Issue number	5
DOIs	https://doi.org/10.1016/j.future.2005.09.001
Publication status	Published - Apr 2006

Keywords

Job scheduling, Job workload estimation, Divisible load theory, Predictable genetic algorithm, Load balancing

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title = "PGGA: a predictable and grouped genetic algorithm for job scheduling",

keywords = "Job scheduling, Job workload estimation, Divisible load theory, Predictable genetic algorithm, Load balancing",

author = "Mandy Qi and M. Li and B. Yu",

year = "2006",

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AU - Li, M.

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