Genetic Programming 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24-26, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Sekanina, Lukas (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hu, Ting (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lourenço, Nuno (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Richter, Hendrik (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), García-Sánchez, Pablo (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: Theoretical Computer Science and General Issues ; 11451
• Θέματα: Algorithms.; Artificial intelligence.; Data mining.; Computer science-Mathematics.; Data structures (Computer science).; Pattern recognition.; Algorithm Analysis and Problem Complexity.; Artificial Intelligence.; Data Mining and Knowledge Discovery.; Discrete Mathematics in Computer Science.; Data Structures.; Pattern Recognition.
• Φυσική περιγραφή: XII, 295 p. 130 illus., 51 illus. in color. online resource.
• ISBN: 9783030166700
• DOI: 10.1007/978-3-030-16670-0

This book constitutes the refereed proceedings of the 22nd European Conference on Genetic Programming, EuroGP 2019, held as part of Evo* 2019, in Leipzig, Germany, in April 2019, co-located with the Evo* events EvoCOP, EvoMUSART, and EvoApplications. The 12 revised full papers and 6 short papers presented in this volume were carefully reviewed and selected from 36 submissions. They cover a wide range of topics and reflect the current state of research in the field. With a special focus on real-world applications in 2019, the papers are devoted to topics such as the test data design in software engineering, fault detection and classification of induction motors, digital circuit design, mosquito abundance prediction, machine learning and cryptographic function design. .