نتایج جستجو برای: through applying a genetic algorithm

تعداد نتایج: 13855300  

Journal: :journal of biomedical physics and engineering 0
kh rezaee 1hakim sabzevari university of sabzevar, department of electrical and computer engineering, sabzevar, iranسازمان های دیگر: 2sabzevar university of medical science, department of medical physics and biomedical engineering, new technologies research center,

background: epilepsy is a severe disorder of the central nervous system that predisposes  the person to recurrent seizures. fifty million people worldwide suffer from  epilepsy; after alzheimer's and stroke, it is the third widespread nervous disorder. objective: in this paper, an algorithm to detect the onset of epileptic seizures  based on the analysis of brain electrical signals (eeg) has be...

Journal: :journal of operation and automation in power engineering 2007
m. darabian s. jalilzadeh m. azari

this paper focuses on multi-objective designing of multi-machine thyristor controlled series compensator (tcsc) using strength pareto evolutionary algorithm (spea). the tcsc parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a spea ...

Journal: :international journal of information, security and systems management 2014
maryam falah nezhadnaeini mohammad hajivand reihaneh karimi mohammad karimi

in this paper, the static var compensator (svc) has been used to improve dynamic behaviour of power system. to do this, a new objective function is formulated considering power loss reduction, voltage profile improvement and loadability margin decrease. other contribution of this research is proposing a novel structure for particle swarm optimization (pso) algorithm through modifying the initia...

Journal: :journal of computing and security 0
peyman ashooriyan yasser baleghi damavandi

this paper presents the hardware simulation (based on vhdl code) of a multiple-fault tolerant cellular genetic algorithm. this study aims to increase the immunity of cellular genetic algorithm in multiple-fault situation. here, multiple-fault refers to the situation that seu (single event upset) occurs simultaneously at two or more bits of the chromosome and fitness registers. the fault model i...

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