| 书目名称 | Socio-cultural Inspired Metaheuristics |
| 编辑 | Anand J. Kulkarni,Pramod Kumar Singh,Kang Tai |
| 视频video | |
| 概述 | Includes emerging optimization methodologies.Presents an enriched collection of a variety of optimization methods.Provides state-of-the-art knowledge and development in the field of socio-cultural ins |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2019 |
| 关键词 | Socio-inspired Optimization; Cultural Algorithms; Socio-political Ideologies; Evolutionary Optimization |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-13-6569-0 |
| isbn_softcover | 978-981-13-6571-3 |
| isbn_ebook | 978-981-13-6569-0Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Singapore Pte Ltd. 2019 |
发表于 2025-3-21 17:10:20
