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010   $a9786613943835
010   $a3-642-31519-4
024 7 $a10.1007/978-3-642-31519-0
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035   $a(EBL)994703
035   $a(OCoLC)808366763
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035   $a(PQKBTitleCode)TC0000745950
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035   $a(DE-He213)978-3-642-31519-0
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035   $a(PPN)168319594
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100   $a20120920d2013      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aEVOLVE-- A bridge between probability, set oriented numerics and evolutionary computation$hII /$fOliver Schtze ... [et al.] (eds.)
205   $a1st ed. 2013.
210   $aBerlin ;$aHeidelberg $cSpringer$dc2013
215   $a1 online resource (503 p.)
225 0 $aAdvances in intelligent systems and computing ;$v175
300   $aInternational conference proceedings.
311   $a3-642-31518-6 
320   $aIncludes bibliographical references and index.
327   $aPart I Cell Mapping and Quasi-stationary Distributions -- Part II Genetic Programming -- Part III EvolutionaryMulti-objective Optimization -- Part IV Combinatorial Optimization -- Part V ProbabilisticModeling and Optimization for Emerging Networks -- Part VI Hybrid Probabilistic Models for Real Parameter Optimization and their Applications -- Part VII Evolutionary Computation for Vision, Graphics, and Robotics -- Part VIII Real-world Application of Bio-inspired Metaheuristics.
330   $aThis book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability,  performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal. .
410  0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v175
606   $aEvolutionary computation$vCongresses
606   $aGenetic programming (Computer science)$vCongresses
615  0$aEvolutionary computation
615  0$aGenetic programming (Computer science)
676   $a006.30151
676   $a519.02/462
701   $aSchutze$b Oliver$01222824
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910438049503321
996   $aEVOLVE-- A bridge between probability, set oriented numerics and evolutionary computation$94191432
997   $aUNINA