New Advancements in Swarm Algorithms: Operators and Applications

Cuevas, Erik, Fausto, Fernando, Gonzalez, Adrian

  • 出版商: Springer
  • 出版日期: 2019-04-12
  • 售價: $4,410
  • 貴賓價: 9.5$4,190
  • 語言: 英文
  • 頁數: 296
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030163385
  • ISBN-13: 9783030163389
  • 相關分類: ARMAlgorithms-data-structures
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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, engineers and practitioners solve their own optimization problems.


商品描述(中文翻譯)

本書介紹了在替代性群體發展方面的進展,這些進展已被證明在多個複雜問題中有效。群體智慧(Swarm Intelligence, SI)是一種問題解決方法論,源於一組具有相似特徵的代理之間的合作。對於表現出社會行為的生物實體(如動物和昆蟲)的研究,導致了幾種群體智慧的計算模型。雖然有許多書籍探討最廣為人知的群體方法,即蟻群算法和粒子群優化,但討論新替代方法的書籍卻相對稀少。專注於基於對流行群體方法的簡單修改的發展,忽略了發現新技術和程序的機會,而這些新技術和程序可能對解決學術界和工業界提出的問題非常有用。本書展示了各種新穎的群體方法及其實際應用,幫助研究人員、講師、工程師和實務工作者解決他們自己的優化問題。