Simulated Evolution and Learning 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Shi, Yuhui (Επιμελητής έκδοσης), Tan, Kay Chen (Επιμελητής έκδοσης), Zhang, Mengjie (Επιμελητής έκδοσης), Tang, Ke (Επιμελητής έκδοσης), Li, Xiaodong (Επιμελητής έκδοσης), Zhang, Qingfu (Επιμελητής έκδοσης), Tan, Ying (Επιμελητής έκδοσης), Middendorf, Martin (Επιμελητής έκδοσης), Jin, Yaochu (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Lecture Notes in Computer Science, 10593
• Θέματα: Computer science.; Computer communication systems.; Computers.; Algorithms.; Artificial intelligence.; Computer simulation.; Computer Science.; Computation by Abstract Devices.; Artificial Intelligence (incl. Robotics).; Algorithm Analysis and Problem Complexity.; Models and Principles.; Computer Communication Networks.; Simulation and Modeling.
• Φυσική περιγραφή: XXII, 1041 p. 317 illus. online resource.
• ISBN: 9783319687599
• ISSN: 0302-9743 ;

This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017.  The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.