03446nam 2200613Ia 450 991043804950332120200520144314.01-283-63138-597866139438353-642-31519-410.1007/978-3-642-31519-0(CKB)2560000000090998(EBL)994703(OCoLC)808366763(SSID)ssj0000745950(PQKBManifestationID)11412852(PQKBTitleCode)TC0000745950(PQKBWorkID)10863123(PQKB)11568594(DE-He213)978-3-642-31519-0(MiAaPQ)EBC994703(PPN)168319594(EXLCZ)99256000000009099820120920d2013 uy 0engur|n|---|||||txtccrEVOLVE-- A bridge between probability, set oriented numerics and evolutionary computationII /Oliver Schtze ... [et al.] (eds.)1st ed. 2013.Berlin ;Heidelberg Springerc20131 online resource (503 p.)Advances in intelligent systems and computing ;175International conference proceedings.3-642-31518-6 Includes bibliographical references and index.Part 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.This 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. .Advances in Intelligent Systems and Computing,2194-5357 ;175Evolutionary computationCongressesGenetic programming (Computer science)CongressesEvolutionary computationGenetic programming (Computer science)006.30151519.02/462Schutze Oliver1222824MiAaPQMiAaPQMiAaPQBOOK9910438049503321EVOLVE-- A bridge between probability, set oriented numerics and evolutionary computation4191432UNINA