000			03763nam a22005055i 4500
001			978-3-642-24094-2
003			DE-He213
005			20140220083814.0
007			cr nn 008mamaa
008			111027s2011 gw | s |||| 0|eng d
020			_a9783642240942 _9978-3-642-24094-2
024	7		_a10.1007/978-3-642-24094-2 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aPelta, David Alejandro. _eeditor.
245	1	0	_aNature Inspired Cooperative Strategies for Optimization (NICSO 2011) _h[electronic resource] / _cedited by David Alejandro Pelta, Natalio Krasnogor, Dan Dumitrescu, Camelia Chira, Rodica Lung.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXXII, 350 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Computational Intelligence, _x1860-949X ; _v387
505	0		_aFrom the content: Ant Colony Optimization for Automatic Design of Strategies in an Adversarial Model -- Resource Allocation and Dispensation Impact of Stochastic Diffusion Search on Differential Evolution Algorithm -- An Adaptive Multiagent Strategy for Solving Combinatorial Dynamic Optimization Problems -- Interactive Intonation Optimisation Using CMA-ES and DCT Parameterisation of the F0 Contour for Speech Synthesis -- Genotype-Fitness Correlation Analysis for Evolutionary Design of Self-Assembly Wang Tiles -- Model Order Reduction of Single Input Single Output Systems using Artificial Bee Colony Optimization Algorithm -- Lamps: A Test Problem for Cooperative Coevolution.
520			_aBiological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation. The previous editions of NICSO were held in Granada, Spain (2006), Acireale, Italy (2007), Tenerife, Spain (2008), and again in Granada in 2010. NICSO evolved to be one of the most interesting and profiled workshops in nature inspired computing. NICSO 2011 has offered an inspiring environment for debating the state of the art ideas and techniques in nature inspired cooperative strategies and a comprehensive image on recent applications of these ideas and techniques. The topics covered by this volume include Swarm Intelligence (such as Ant and Bee Colony Optimization), Genetic Algorithms, Multiagent Systems, Coevolution and Cooperation strategies, Adversarial Models, Synergic Building Blocks, Complex Networks, Social Impact Models, Evolutionary Design, Self Organized Criticality, Evolving Systems, Cellular Automata, Hybrid Algorithms, and Membrane Computing (P-Systems).
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
700	1		_aKrasnogor, Natalio. _eeditor.
700	1		_aDumitrescu, Dan. _eeditor.
700	1		_aChira, Camelia. _eeditor.
700	1		_aLung, Rodica. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642240935
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v387
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-24094-2
912			_aZDB-2-ENG
999			_c108455 _d108455