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Scheduling for flexible flow-shop problem based on an improved genetic algorithm

contributor authorXudong Wang
contributor authorQingyun Dai
date accessioned2020-03-12T22:55:10Z
date available2020-03-12T22:55:10Z
date issued2014
identifier other7029882.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1099138?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleScheduling for flexible flow-shop problem based on an improved genetic algorithm
typeConference Paper
contenttypeMetadata Only
identifier padid8240656
subject keywordscomputational complexity
subject keywordsn multiprocessing systems
subject keywordsn parallel processing
subject keywordsn processor scheduling
subject keywordsn ubiquitous computing
subject keywordsn active monitoring
subject keywordsn complex algorithm
subject keywordsn complex multiprocessor scheduling algorithms
subject keywordsn computational complexity
subject keywordsn computational overhead
subject keywordsn computationally intensive algorithm
subject keywordsn general purpose system
subject keywordsn hardware architecture
subject keywordsn hardware component
subject keywordsn high-performance system
subject keywordsn ideal fluid scheduling model
subject keywordsn multicore domain
subject keywordsn multi
identifier doi10.1109/RTCSA.2014.6910541
journal titleonsumer Electronics - China, 2014 IEEE International Conference on
filesize151660
citations0


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