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

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.
 

Product details

• Assisted by: Pablo García-Sánchez (Editor), Ting Hu (Editor), Nuno Lourenço (Editor), Hendrik Richter (Editor), Lukas Sekanina (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 27.03.2019
• EAN: 9783030166694
• ISBN: 978-3-0-3016669-4
• No. of pages: 295
• Dimensions: 156 mm x 18 mm x 236 mm
• Weight: 470 g
• Illustrations: XII, 295 p. 130 illus., 51 illus. in color.
• Series: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; C, Künstliche Intelligenz, Data Science, Data Mining, Algorithms, Datenbanken, Artificial Intelligence, Mustererkennung, Diskrete Mathematik, Wissensbasierte Systeme, Expertensysteme, Mathematik für Informatiker, computer science, pattern recognition, Data Mining and Knowledge Discovery, Discrete Mathematics in Computer Science, Discrete Mathematics, Algorithms & data structures, Automated Pattern Recognition, Computer science—Mathematics, Maths for computer scientists, Algorithm Analysis and Problem Complexity, Expert systems / knowledge-based systems, Data structures (Computer science), Data Structures, Databases