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001			85207
003			ES-MaUEC
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007			cr nn 008mamaa
008			151209s2016 gw | s |||| 0|eng d
020			_a9783319264677
040			_aES-MaUEC
050		4	_aQ342 _b.A385 2016
082	0	4	_a006.3
100	1		_aAguiar e Oliveira Junior, Hime _0Local _997985
245	1	0	_aEvolutionary Global Optimization, Manifolds and Applications _cby Hime Aguiar e Oliveira Junior
250			_a1st ed.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XIII, 137 páginas) _b43 ilustraciones, 26 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aStudies in Systems, Decision and Control _x2198-4182 _v43
505	0		_aPart I Introductory Information -- Part II Global optimization on manifolds -- Part III Further Applications of fuzzy ASA.
520	3		_aThis book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. It describes recent findings and well-known key facts in general and differential topology, revisiting them all in the context of application to current optimization problems. Special emphasis is put on game theory problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA. In addition, more abstract examples, including minimizations of well-known functions, are also included. Although the Fuzzy ASA approach has been chosen as the main optimizing paradigm, the book suggests that other metaheuristic methods could be used as well. Some of them are introduced, together with their advantages and disadvantages. Readers should possess some knowledge of linear algebra, and of basic concepts of numerical analysis and probability theory. Many necessary definitions and fundamental results are provided, with the formal mathematical requirements limited to a minimum, while the focus is kept firmly on continuous problems. The book offers a valuable resource for students, researchers and practitioners. It is suitable for university courses on optimization and for self-study. .
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, asignarmaterias , EBSPRINGER
650		7	_9145705 _aOptimización matemática _0comprobar BNE19922522034 _2embne
650	0	7	_aEstadística _0 _2embne _9138934
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-26467-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319264677
907			_a.b12944853 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aQ342 .A385 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11588846 _z06-04-17
999			_c85207 _d85207 _x1