Mathematical Foundations of Nature-Inspired Algorithms


Mathematical Foundations of Nature-Inspired Algorithms (SpringerBriefs in Optimization)
By 作者: Xin-She Yang - Xing-Shi He
ISBN-10 书号: 3030169359
ISBN-13 书号: 9783030169350
Edition 版本: 1st ed. 2019
Release Finelybook 出版日期: 2019-05-08
pages 页数: (107 )

The Book Description robot was collected from Amazon and arranged by Finelybook
This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Algorithms are analyzed from a wide spectrum of theories and frameworks to offer insight to the main characteristics of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different perspectives, including complexity theory, fixed point theory, dynamical systems, self-organization, Bayesian framework, Markov chain framework, filter theory, statistical learning, and statistical measures. Students and researchers in optimization, operations research, artificial intelligence, data mining, machine learning, computer science, and management sciences will see the pros and cons of a variety of algorithms through detailed examples and a comparison of algorithms.

下载地址 DOWNLOAD隐藏内容需1积分,请先!没有帐号? 注 册 一个!
觉得文章有用就打赏一下文章作者
未经允许不得转载:finelybook » Mathematical Foundations of Nature-Inspired Algorithms
分享到: 更多 (0)

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下文章作者

支付宝扫一扫打赏

微信扫一扫打赏