000			03139nam a22003855i 4500
001			304207
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007			cr nn 008mamaa
008			150903s2012 gw | o |||| 0|eng d
020			_a9783642234248 _99783642234248
024	7		_a10.1007/9783642234248 _2doi
035			_avtls000357742
039		9	_a201509030524 _bVLOAD _c201405070220 _dVLOAD _y201402191506 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ342
100	1		_aChiong, Raymond. _eeditor. _9336951
245	1	0	_aVariants of Evolutionary Algorithms for Real-World Applications / _cedited by Raymond Chiong, Thomas Weise, Zbigniew Michalewicz.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012.
300			_axiv, 466 páginas 182 ilustraciones, 21 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aSection I: Introduction -- Section II: Planning & Scheduling -- Section III: Engineering -- Section IV: Data Collection, Retrieval & Mining.
520			_aEvolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aWeise, Thomas. _eeditor. _9343003
700	1		_aMichalewicz, Zbigniew. _eeditor. _9299176
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783642234231
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-23424-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c304207 _d304207