A quantum-inspired evolutionary computing algorithm for disk allocation method

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Based on a Quantum-inspired Evolutionary Algorithm (QEA), a new disk allocation method is proposed for distributing buckets of a binary cartesian product file among unrestricted number of disks to maximize concurrent disk I/O. It manages the probability distribution matrix to represent the qualities of the genes. Determining the excellent genes quickly makes the proposed method have faster convergence than DAGA. It gives better solutions and 3.2 - 11.3 times faster convergence than DAGA.
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Issue Date
2003-03
Language
English
Article Type
Letter
Citation

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E86D, pp.645 - 649

ISSN
0916-8532
URI
http://hdl.handle.net/10203/12757
Appears in Collection
EE-Journal Papers(저널논문)
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