000			03866nam a22003375i 4500
001			103293
003			DE-He213
005			20230102113124.0
007			cr nn 008mamaa
008			140818s2015 gw | s |||| 0|eng d
020			_a9783319088402
024	7		_a10.1007/978-3-319-08840-2 _2doi
050		4	_aQA402.5 _b.T364 2015 EB
040			_aES-MaUEC _bspa
100	1		_aTao, Fei _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2011065236 _1http://viaf.org/viaf/29537230/
245	1	0	_aConfigurable Intelligent Optimization Algorithm _bDesign and Practice in Manufacturing _cby Fei Tao, Lin Zhang, Yuanjun Laili.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XIII, 361 páginas 115 ilustraciones, 105 ilustraciones a color.)
490	0		_aSpringer Series in Advanced Manufacturing _x1860-5168
505	0		_aFrom the Contents: Brief History and Overview of Intelligent Optimization Algorithms -- Recent Advances of intelligent optimization algorithms in manufacturing -- Dynamic Configuration Intelligent Optimization Algorithms -- Improvement and hybridization of Intelligent Optimization Algorithms DC-OIA.
520	3		_aPresenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes. It provides a comprehensive elaboration of basic intelligent optimization algorithms, and demonstrates how their improvement, hybridization and parallelization can be applied to manufacturing. Furthermore, various applications of these intelligent optimization algorithms are exemplified in detail, chapter by chapter. The intelligent optimization algorithm is not just a single algorithm; instead it is a general advanced optimization mechanism which is highly scalable with robustness and randomness. Therefore, this book demonstrates the flexibility of these algorithms, as well as their robustness and reusability in order to solve mass complicated problems in manufacturing. Since the genetic algorithm was presented decades ago, a large number of intelligent optimization algorithms and their improvements have been developed. However, little work has been done to extend their applications and verify their competence in solving complicated problems in manufacturing. This book will provide an invaluable resource to students, researchers, consultants and industry professionals interested in engineering optimization. It will also be particularly useful to three groups of readers: algorithm beginners, optimization engineers and senior algorithm designers. It offers a detailed description of intelligent optimization algorithms to algorithm beginners; recommends new configurable design methods for optimization engineers, and provides future trends and challenges of the new configuration mechanism to senior algorithm designers.
650		7	_9145705 _aOptimización matemática _2embne
700	1		_aZhang, Lin _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n79064503 _1http://viaf.org/viaf/4957151/ _1http://dbpedia.org/resource/Zhang_Zuolin _997833
700	1		_aLaili, Yuanjun _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2014143883 _1http://viaf.org/viaf/311475426/
776	0	8	_iEdición impresa: _z9783319088419
776	0	8	_iEdición impresa: _z9783319088396
776	0	8	_iEdición impresa: _z9783319380414
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-08840-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
998			_b03/2019 _dz _ef _feng _ggw _h0
999			_c103293 _d103293 _x1