Applying genetic algorithms for the determination of the parameters of the electrostatic discharge current equation

Fotis, GP; Asimakopoulou, FE; Gonos, IF; Stathopulos, IA

dc.contributor.author	Fotis, GP	en
dc.contributor.author	Asimakopoulou, FE	en
dc.contributor.author	Gonos, IF	en
dc.contributor.author	Stathopulos, IA	en
dc.date.accessioned	2014-03-01T02:43:57Z
dc.date.available	2014-03-01T02:43:57Z
dc.date.issued	2006	en
dc.identifier.issn	0957-0233	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31565
dc.subject	Discharge current	en
dc.subject	Electrostatic discharge generators	en
dc.subject	Electrostatic discharges	en
dc.subject	Genetic algorithms	en
dc.subject	Simulation	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Instruments & Instrumentation	en
dc.subject.other	Computer simulation	en
dc.subject.other	Electric currents	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Mathematical models	en
dc.subject.other	Optimization	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Discharge currents	en
dc.subject.other	Discharge generator	en
dc.subject.other	Electrostatic discharges	en
dc.subject.other	Mathematical equations	en
dc.subject.other	Electric discharges	en
dc.subject.other	Computer simulation	en
dc.subject.other	Electric currents	en
dc.subject.other	Electric discharges	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Mathematical models	en
dc.subject.other	Optimization	en
dc.subject.other	Parameter estimation	en
dc.title	Applying genetic algorithms for the determination of the parameters of the electrostatic discharge current equation	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1088/0957-0233/17/10/037	en
heal.identifier.secondary	http://dx.doi.org/10.1088/0957-0233/17/10/037	en
heal.identifier.secondary	037	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	The aim of this paper is the estimation of the parameters of possible equations, which describe the current during an electrostatic discharge using genetic algorithms. Aberrations between simulations and the waveform described in the standard render necessary the development of an equation that will describe the discharge current. The input data of the genetic algorithm are real current measurements produced by an electrostatic discharge generator. By using these data, the genetic algorithm is a means to find optimized parameters of the mathematical equations. The satisfactory agreement between the experimental and optimized data proves the efficiency of the genetic algorithm. © 2006 IOP Publishing Ltd.	en
heal.publisher	IOP PUBLISHING LTD	en
heal.journalName	Measurement Science and Technology	en
dc.identifier.doi	10.1088/0957-0233/17/10/037	en
dc.identifier.isi	ISI:000241989700039	en
dc.identifier.volume	17	en
dc.identifier.issue	10	en
dc.identifier.spage	2819	en
dc.identifier.epage	2827	en