LEADER 03619nam  2200601 a 450 
001 9910438059603321
005 20200520144314.0
010   $a3-319-01128-6
024 7 $a10.1007/978-3-319-01128-8
035   $a(OCoLC)810328253
035   $a(MiFhGG)GVRL6YDK
035   $a(CKB)2560000000104720
035   $a(MiAaPQ)EBC1317373
035   $a(EXLCZ)992560000000104720
100   $a20130702d2013      uy         0
101 0 $aeng
135   $aurun|---uuuua
181   $ctxt
182   $cc
183   $acr
200 00$aEVOLVE - a bridge between probability, set oriented numerics, and evolutionary computation IV $einternational conference held at Leiden University, July 10-13, 2013 /$fMichael Emmerich ... [et al.]
205   $a1st ed. 2013.
210   $aCham, Germany $cSpringer$dc2013
215   $a1 online resource (xiii, 324 pages) $cillustrations (some color)
225 1 $aAdvances in Intelligent Systems and Computing ;$vVolume 227
300   $a"ISSN: 2194-5357."
311   $a3-319-01127-8 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aMachine Learning and Probabilistic Models -- Complex Networks and Evolutionary Computation -- Diversity Oriented Optimization -- Set-oriented Numerics and Evolutionary Multiobjective Optimization -- Genetic Programming -- Robust Optimization.
330   $aNumerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering.  Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines. These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.
410  0$aAdvances in intelligent systems and computing ;$v227.
606   $aEvolutionary computation$vCongresses
606   $aCombinatorial optimization$vCongresses
606   $aEngineering
606   $aArtificial intelligence
606   $aComputational intelligence
615  0$aEvolutionary computation
615  0$aCombinatorial optimization
615  0$aEngineering.
615  0$aArtificial intelligence.
615  0$aComputational intelligence.
676   $a005.432
701   $aEmmerich$b Michael$01151656
712 02$aNew Word Order.
712 02$aInstitut national de recherche en informatique et en automatique (France)
712 02$aCentro de Investigacion y de Estudios Avanzados del I.P.N.
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910438059603321
996   $aEVOLVE - a bridge between probability, set oriented numerics, and evolutionary computation IV$94188439
997   $aUNINA