书目名称 | New Advancements in Swarm Algorithms: Operators and Applications |
编辑 | Erik Cuevas,Fernando Fausto,Adrián González |
视频video | |
概述 | Presents advances in new, alternative swarm developments.Demonstrates the potential of new swarm alternative algorithms from a practical perspective.Discusses various novel metaheuristic methods and t |
丛书名称 | Intelligent Systems Reference Library |
图书封面 |  |
描述 | .This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineersand practitioners solve their own optimization problems.. |
出版日期 | Book 2020 |
关键词 | Swarm Intelligence; Metaheuristics; Evolutionary Computation; Swarm Methods; Metaheuristic Methods |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-16339-6 |
isbn_ebook | 978-3-030-16339-6Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
issn_series | 1868-4394 |
copyright | Springer Nature Switzerland AG 2020 |