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A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems

contributor authorElsayed, S.M. , Ray, T. , Sarker, R.A.
date accessioned2020-03-12T23:35:11Z
date available2020-03-12T23:35:11Z
date issued2014
identifier other6900351.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1116973?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems
typeConference Paper
contenttypeMetadata Only
identifier padid8286662
subject keywordscontrol system analysis
subject keywordscontrol system synthesis
subject keywordsmedical robotics
subject keywordspatient rehabilitation
subject keywordsstability
subject keywordsassistive-coordinative robotic rehabilitation
subject keywordscontrol architecture
subject keywordscontrol design
subject keywordshaptics-enabled robotic rehabilitation
subject keywordsinvoluntary movement
subject keywordspassive robotic assistive-coordinative therapy
subject keywordspathological tremors
subject keywordspatient safety
subject keywordspatient stability
subject keywordsresidual low-frequency voluntary actions
subject keywordsresistive force field
subject keywordsstability analysis
subject keywordsstabilization scheme
subject keywordstremor amplification
subject keywordsAdaptive filter
identifier doi10.1109/IROS.2014.6943060
journal titlevolutionary Computation (CEC), 2014 IEEE Congress on
filesize1579278
citations0


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