000			02927nam a22003495i 4500
001			102906
003			DE-He213
005			20240111050143.0
007			cr nn 008mamaa
008			171010s2018 gw | s |||| 0|eng d
020			_a9783319676692
024	7		_a10.1007/978-3-319-67669-2 _2doi
040			_aES-MaUEC _bspa
050		4	_aQA76.9.N37 2018 EB
245	1	0	_aNature-Inspired Algorithms and Applied Optimization _cedited by Xin-She Yang.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XI, 330 páginas 42 ilustraciones, 28 ilustraciones a color)
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v744
505	0		_aMathematical Analysis of Nature-Inspired Algorithms -- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation -- Global Convergence Analysis of Cuckoo Search Using Markov Theory -- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm -- Variants of the Flower Pollination Algorithm: A Review.
520	3		_aThis book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.
650		7	_aAlgoritmos _2embne _9141162
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aYang, Xin-She _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2006017401 _1http://viaf.org/viaf/83434956/ _997941
776	0	8	_iEdición impresa: _z9783319676685
776	0	8	_iEdición impresa: _z9783319676708
776	0	8	_iEdición impresa: _z9783319884653
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-67669-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b02/2019 _dz _ek _feng _ggw _h0
999			_c102906 _d102906 _x1