Numerical and Evolutionary Optimization - NEO 2017

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Trujillo, Leonardo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Schütze, Oliver (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Maldonado, Yazmin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Valle, Paul (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Studies in Computational Intelligence, 785
• Θέματα: Computational intelligence.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence.
• Φυσική περιγραφή: XIV, 312 p. 137 illus. online resource.
• ISBN: 9783319961040
• ISSN: 1860-949X ;
• DOI: 10.1007/978-3-319-96104-0

This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Mexico. The event gathered researchers from two complimentary fields to discuss the theory, development and application of state-of-the-art techniques to address search and optimization problems. The lively event included 7 invited talks and 64 regular talks covering a wide range of topics, from evolutionary computer vision and machine learning with evolutionary computation, to set oriented numeric and steepest descent techniques. Including research submitted by the NEO community, the book provides informative and stimulating material for future research in the field.