000			03126nam a22004695i 4500
001			u376168
003			SIRSI
005			20160812084359.0
007			cr nn 008mamaa
008			110713s2011 gw | s |||| 0|eng d
020			_a9783642209581 _9978-3-642-20958-1
040			_cMX-MeUAM
050		4	_aQ342
082	0	4	_a006.3 _223
100	1		_aNedjah, Nadia. _eeditor.
245	1	0	_aInnovative Computing Methods and Their Applications to Engineering Problems _h[recurso electrónico] / _cedited by Nadia Nedjah, Leandro Santos Coelho, Viviana Cocco Mariani, Luiza Macedo Mourelle.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aVIII, 164 p. _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 ; _v357
505	0		_a1- A discrete differential evolution approach with local search for traveling salesman problems -- 2- Genetic Algorithm based Reliability Optimization in Interval Environment -- 3- PSO for Building Fuzzy Systems -- 4- Maintenance optimization of wind turbine systems based on intelligent prediction tools -- 5- Clonal selection algorithm applied to economic dispatch optimization of electrical energy -- 6- Dynamic Objectives Aggregation Methods in Multi-objective Evolutionary Optimization -- 7- Application Mapping for Efficient NoC-based Implementation using Evolutionary Multi-objective Optimization -- 8- Theory and Applications of Chaotic Optimization Methods.
520			_aThe design of most modern engineering systems entails the consideration of a good trade-off between the several targets requirements to be satisfied along the system life such as high reliability, low redundancy and low operational costs. These aspects are often in conflict with one another, hence a compromise solution has to be sought. Innovative computing techniques, such as genetic algorithms, swarm intelligence, differential evolution, multi-objective evolutionary optimization, just to name few, are of great help in founding effective and reliable solution for many engineering problems. Each chapter of this book attempts to using an innovative computing technique to elegantly solve a different engineering problem.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aSantos Coelho, Leandro. _eeditor.
700	1		_aMariani, Viviana Cocco. _eeditor.
700	1		_aMacedo Mourelle, Luiza. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642209574
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v357
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-20958-1
596			_a19
942			_cLIBRO_ELEC
999			_c204048 _d204048