EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Emmerich, Michael (Επιμελητής έκδοσης), Deutz, André (Επιμελητής έκδοσης), Schütze, Oliver (Επιμελητής έκδοσης), Legrand, Pierrick (Επιμελητής έκδοσης), Tantar, Emilia (Επιμελητής έκδοσης), Tantar, Alexandru-Adrian (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Studies in Computational Intelligence, 662
• Θέματα: Engineering.; Computer science > Mathematics.; Artificial intelligence.; Computer mathematics.; Probabilities.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Probability Theory and Stochastic Processes.; Mathematics of Computing.; Computational Mathematics and Numerical Analysis.
• Φυσική περιγραφή: VIII, 210 p. 75 illus., 36 illus. in color. online resource.
• ISBN: 9783319493251
• ISSN: 1860-949X ;

This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology.