 Название: New Advancements in Swarm Algorithms
Автор: Erik Cuevas, Fernando Fausto
Издательство: Springer
ISBN: 3030163385
Год: 2019 (2020 Edition)
Страниц: 306
Язык: английский
Формат: pdf (true)
Размер: 26.6 MB
Роевой интеллект - это разновидность искусственного интеллекта (ИИ). Он описывает коллективное поведение децентрализованной самоорганизующейся системы. Идеи поведения РИ исходят из природы (из различных биологических систем), поэтому названия алгоритмов связаны с природой - это муравьиный алгоритм, пчелиный алгоритм, алгоритм серых волков, метод роя частиц, искусственная иммунная система и т.д.
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, engineers and practitioners solve their own optimization problems.
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