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Demand-driven task scheduling using 2D chromosome genetic algorithm in mobile cloud

contributor authorCai, Zhiming
contributor authorChen, Chongcheng
date accessioned2020-03-12T22:02:01Z
date available2020-03-12T22:02:01Z
date issued2014
identifier other6972393.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1069085?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleDemand-driven task scheduling using 2D chromosome genetic algorithm in mobile cloud
typeConference Paper
contenttypeMetadata Only
identifier padid8204335
subject keywordsmaintenance engineering
subject keywordsn ocean waves
subject keywordsn offshore installations
subject keywordsn optimisation
subject keywordsn reinforced concrete
subject keywordsn wave power generation
subject keywordsn wind power plants
subject keywordsn OWC absorbers
subject keywordsn Rho-Cee
subject keywordsn USDARPA
subject keywordsn WEC structure
subject keywordsn WT systems
subject keywordsn air-buoyancy control
subject keywordsn breakwater
subject keywordsn clipping effect
subject keywordsn compressed-air potential energy
subject keywordsn cost model
subject keywordsn distribution system
subject keywordsn energy storage
subject keywordsn floating platform
subject keywordsn impedance matching
subject keywordsn impedance-matched terminator
subject keywordsn maintenance
identifier doi10.1109/EVER.2014.6844053
journal titlerogress in Informatics and Computing (PIC), 2014 International Conference on
filesize1040405
citations0


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