Socio-cultural Inspired Metaheuristics

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kulkarni, Anand J. (Editor, http://id.loc.gov/vocabulary/relators/edt), Singh, Pramod Kumar (Editor, http://id.loc.gov/vocabulary/relators/edt), Satapathy, Suresh Chandra (Editor, http://id.loc.gov/vocabulary/relators/edt), Husseinzadeh Kashan, Ali (Editor, http://id.loc.gov/vocabulary/relators/edt), Tai, Kang (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Computational Intelligence, 828
• Subjects: Computational intelligence.; Artificial intelligence.; Mathematical optimization.; Computational Intelligence.; Artificial Intelligence.; Continuous Optimization.

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...