TY - BOOK AU - Schütze,Oliver AU - Coello Coello,Carlos A. AU - Tantar,Alexandru-Adrian AU - Tantar,Emilia AU - Bouvry,Pascal AU - Del Moral,Pierre AU - Legrand,Pierrick ED - SpringerLink (Online service) TI - EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II T2 - Advances in Intelligent Systems and Computing, SN - 9783642315190 AV - Q342 U1 - 006.3 23 PY - 2013/// CY - Berlin, Heidelberg PB - Springer Berlin Heidelberg, Imprint: Springer KW - Engineering KW - Operations research KW - Decision making KW - Artificial intelligence KW - Neural networks (Computer science) KW - Statistics KW - Computational intelligence KW - Computational Intelligence KW - Artificial Intelligence (incl. Robotics) KW - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences KW - Mathematical Models of Cognitive Processes and Neural Networks KW - Operation Research/Decision Theory N1 - 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 N2 - 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.  UR - http://dx.doi.org/10.1007/978-3-642-31519-0 ER -