000			03328nam a22004935i 4500
001			978-3-642-30504-7
003			DE-He213
005			20140220082848.0
007			cr nn 008mamaa
008			120928s2013 gw | s |||| 0|eng d
020			_a9783642305047 _9978-3-642-30504-7
024	7		_a10.1007/978-3-642-30504-7 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aZelinka, Ivan. _eeditor.
245	1	0	_aHandbook of Optimization _h[electronic resource] : _bFrom Classical to Modern Approach / _cedited by Ivan Zelinka, Václav Snášel, Ajith Abraham.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_aXII, 1100 p. 460 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aIntelligent Systems Reference Library, _x1868-4394 ; _v38
505	0		_aClassical methods - theory -- Classical methods - Applications -- Heuristics - Theory -- Heuristics - Applications.
520			_aOptimization problems were and still are the focus of mathematics from antiquity to the present. Since the beginning of our civilization, the human race has had to confront numerous technological challenges, such as finding the optimal solution of various problems including control technologies, power sources construction, applications in economy, mechanical engineering and energy distribution amongst others. These examples encompass both ancient as well as modern technologies like the first electrical energy distribution network in USA etc. Some of the key principles formulated in the middle ages were done by Johannes Kepler (Problem of the wine barrels), Johan Bernoulli (brachystochrone problem), Leonhard Euler (Calculus of Variations), Lagrange (Principle multipliers), that were formulated primarily in the ancient world and are of a geometric nature. In the beginning of the modern era, works of L.V. Kantorovich and G.B. Dantzig (so-called linear programming) can be considered amongst others. This book discusses a wide spectrum of optimization methods from classical to modern, alike heuristics. Novel as well as classical techniques is also discussed in this book, including its mutual intersection. Together with many interesting chapters, a reader will also encounter various methods used for proposed optimization approaches, such as game theory and evolutionary algorithms or modelling of evolutionary algorithm dynamics like complex networks.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aOperations research.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aOperation Research/Decision Theory.
700	1		_aSnášel, Václav. _eeditor.
700	1		_aAbraham, Ajith. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642305030
830		0	_aIntelligent Systems Reference Library, _x1868-4394 ; _v38
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-30504-7
912			_aZDB-2-ENG
999			_c97001 _d97001