Socio-cultural Inspired Metaheuristics

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kulkarni, Anand J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Singh, Pramod Kumar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Satapathy, Suresh Chandra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Husseinzadeh Kashan, Ali (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tai, Kang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Studies in Computational Intelligence, 828
• Θέματα: Computational intelligence.; Artificial intelligence.; Mathematical optimization.; Computational Intelligence.; Artificial Intelligence.; Continuous Optimization.
• Φυσική περιγραφή: X, 303 p. 155 illus., 69 illus. in color. online resource.
• ISBN: 9789811365690
• ISSN: 1860-949X ;
• DOI: 10.1007/978-981-13-6569-0

This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions. This book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial intelligence (AI) and computational intelligence fields.