Evolutionary Learning: Advances in Theories and Algorithms

• Κύριοι συγγραφείς: Zhou, Zhi-Hua (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Yu, Yang (http://id.loc.gov/vocabulary/relators/aut), Qian, Chao (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Artificial intelligence.; Algorithms.; Computer science-Mathematics.; Artificial Intelligence.; Algorithm Analysis and Problem Complexity.; Math Applications in Computer Science.

Many machine learning tasks involve solving complex optimization problems, such as working on non-differentiable, non-continuous, and non-unique objective functions; in some cases it can prove difficult to even define an explicit objective function. Evolutionary learning applies evolutionary algorit...