000			02991nam a22004815i 4500
001			978-3-642-12346-7
003			DE-He213
005			20140220084534.0
007			cr nn 008mamaa
008			100413s2010 gw | s |||| 0|eng d
020			_a9783642123467 _9978-3-642-12346-7
024	7		_a10.1007/978-3-642-12346-7 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aBarros, Manuel F. M. _eauthor.
245	1	0	_aAnalog Circuits and Systems Optimization based on Evolutionary Computation Techniques _h[electronic resource] / _cby Manuel F. M. Barros, Jorge M. C. Guilherme, Nuno C. G. Horta.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_a240p. 141 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Computational Intelligence, _x1860-949X ; _v294
505	0		_aState-of-the-Art on Analog Design Automation -- Evolutionary Analog IC Design Optimization -- Enhanced Techniques for Analog Circuits Design Using SVM Models -- Analog IC Design Environment Architecture -- Optimization of Analog Circuits and Systems - Applications -- Conclusions.
520			_aThe microelectronics market trends present an ever-increasing level of complexity with special emphasis on the production of complex mixed-signal systems-on-chip. Strict economic and design pressures have driven the development of new methods to automate the analog design process. However, and despite some significant research efforts, the essential act of design at the transistor level is still performed by the trial and error interaction between the designer and the simulator. This book presents a new design automation methodology based on a modified genetic algorithm kernel, in order to improve efficiency on the analog IC design cycle. The proposed approach combines a robust optimization with corner analysis, machine learning techniques and distributed processing capability able to deal with multi-objective and constrained optimization problems. The resulting optimization tool and the improvement in design productivity is demonstrated for the design of CMOS operational amplifiers.
650		0	_aEngineering.
650		0	_aElectronics.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aElectronics and Microelectronics, Instrumentation.
650	2	4	_aRobotics and Automation.
700	1		_aGuilherme, Jorge M. C. _eauthor.
700	1		_aHorta, Nuno C. G. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642123450
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v294
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-12346-7
912			_aZDB-2-ENG
999			_c112054 _d112054