PGGA: a predictable and grouped genetic algorithm for job scheduling

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. ISSN 0167-739X.

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Item Type: Article
Uncontrolled Keywords: Job scheduling, Job workload estimation, Divisible load theory, Predictable genetic algorithm, Load balancing
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Divisions: pre Nov-2014 > Faculty of Social and Applied Sciences > Computing
Depositing User: Users 8 not found.
Date Deposited: 23 Mar 2011 16:22
Last Modified: 11 Dec 2014 14:02
URI: https://create.canterbury.ac.uk/id/eprint/5853

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Last edited: 29/06/2016 12:23:00