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008			200311s2020 si | s |||| 0|eng d
020			_a9789811521331
024	7		_a10.1007/978-981-15-2133-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_a QA76.9 .N37 _b2020 EB
245	0	0	_aFrontier Applications of Nature Inspired Computation _cedited by Mahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu.
250			_aFirst edition 2020.
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2020.
300			_a1 recurso en línea (XIII, 389 páginas) _b194 ilustraciones, 138 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aSpringer Tracts in Nature-Inspired Computing _x2524-552X
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aNature-inspired Metaheuristic Optimization: Recent Advances and Applications -- Prediction in Nature Inspired Dynamic Optimization -- Plants Genetics Inspired Evolutionary Optimization: A Descriptive Tutorial -- Trends on fitness landscape analysis in evolutionary computation and meta-heuristics -- Lion Algorithm and its Applications -- A self-adaptive nature-inspired procedure for solving the quadratic assignment problem.
520	3		_aThis book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications.
988			_aSpringer_Robotics_31032020
650		7	_2embne _aProceso en lenguaje natural (Informática) _9158738
700	1		_aKhosravy, Mahdi _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGupta, Neeraj _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPatel, Nilesh _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSenjyu, Tomonobu _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted edition: _z9789811521324
776	0	8	_iPrinted edition: _z9789811521348
776	0	8	_iPrinted edition: _z9789811521355
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-2133-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _eh _zSI