EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Schütze, Oliver (Επιμελητής έκδοσης), Coello Coello, Carlos A. (Επιμελητής έκδοσης), Tantar, Alexandru-Adrian (Επιμελητής έκδοσης), Tantar, Emilia (Επιμελητής έκδοσης), Bouvry, Pascal (Επιμελητής έκδοσης), Del Moral, Pierre (Επιμελητής έκδοσης), Legrand, Pierrick (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Advances in Intelligent Systems and Computing, 175
• Θέματα: Engineering.; Operations research.; Decision making.; Artificial intelligence.; Neural networks (Computer science).; Statistics.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Mathematical Models of Cognitive Processes and Neural Networks.; Operation Research/Decision Theory.
• Φυσική περιγραφή: XXIV, 508 p. 152 illus. online resource.
• ISBN: 9783642315190
• ISSN: 2194-5357 ;

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. .