000 02281nam a2200277 a 4500
999 _c23749
_d23749
010 _a 2010924760
020 _a978-3642269912
082 _a006.6 NA TU
245 1 0 _aNature inspired cooperative strategies for optimization (NICSO 2011) /
_cDavid Alejandro Pelta (Editor), Natalio Krasnogor (Editor), Dan Dumitrescu (Editor).
260 _aBerlin :
_bSpringer,
_cc2012.
300 _axxi, 348 p. ;
_bill. :
_c24 cm.
490 0 _aStudies in computational intelligence,
_v387
500 _aNICSO 2011.
504 _aIncludes bibliographical references and index.
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 _aBiologically-inspired computing
_vCongresses.
_939194
650 0 _aNeural networks (Computer science)
_vCongresses.
_939195
650 7 _aNICSO 2011 (2011).
_939196
700 _aPelta, David Alejandro,
_eEditor.
_939197
700 _aKrasnogor, Natalio,
_eEditor.
_939198
700 _aDumitrescu, Dan,
_eEditor.
_939199
856 _uhttps://uowd.box.com/s/vputfhdosh2virihawmxbswm3z4qgk21
_zLocation Map