Probability Collectives: A Distributed Multi-agent System Approach for Optimization (Intelligent Systems Reference Library)
暫譯: 機率集體:分散式多代理系統優化方法(智慧系統參考圖書館)

Anand Jayant Kulkarni, Kang Tai, Ajith Abraham

  • 出版商: Springer
  • 出版日期: 2015-03-23
  • 售價: $3,960
  • 貴賓價: 9.5$3,762
  • 語言: 英文
  • 頁數: 157
  • 裝訂: Hardcover
  • ISBN: 3319159992
  • ISBN-13: 9783319159997
  • 海外代購書籍(需單獨結帳)

商品描述

This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.

商品描述(中文翻譯)

本書提供了一種新興的計算智能工具,該工具在集體智能的框架下,用於建模和控制稱為概率集體的分散式多代理系統。在修改過的概率集體方法論中,納入了多種約束處理技術,這不僅降低了計算複雜度,還提高了收斂性和效率。書中使用了大量範例和現實世界的問題進行說明,這也使讀者能夠進一步深入了解相關概念。