Nature-Inspired Optimization Algorithms (Paperback)
暫譯: 自然啟發的優化演算法 (平裝本)

A, Vasuki

Nature-Inspired Optimization Algorithms (Paperback)

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商品描述

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an overview of optimization going from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner. The study of the intelligent survival strategies of animals, birds, and insects in a hostile and ever-changing environment has led to the development of techniques emulating their behavior.

This book is a lucid description of fifteen important existing optimization algorithms based on swarm intelligence and superior in performance. It is a valuable resource for engineers, researchers, faculty, and students who are devising optimum solutions to any type of problem ranging from computer science to economics and covering diverse areas that require maximizing output and minimizing resources. This is the crux of all optimization algorithms.
Features:

 

 

 

 

  • Detailed description of the algorithms along with pseudocode and flowchart
  • Easy translation to program code that is also readily available in Mathworks website for some of the algorithms
  • Simple examples demonstrating the optimization strategies are provided to enhance understanding
  • Standard applications and benchmark datasets for testing and validating the algorithms are included

This book is a reference for undergraduate and post-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for optimizing resources in attaining the best solution to a problem. The nature-inspired optimization algorithms are unconventional, and this makes them more efficient than their traditional counterparts.

商品描述(中文翻譯)

《自然啟發的優化演算法》是一本全面介紹基於自然的最受歡迎的優化演算法的著作，從經典的優化概念開始，延伸至最新的群體智慧演算法。自然界擁有豐富的植物和動物資源，這些資源啟發了優化技術的發展，為我們提供了以有效且適應性強的方式解決複雜問題的簡單解決方案。對於動物、鳥類和昆蟲在惡劣且不斷變化的環境中智能生存策略的研究，促成了模仿其行為的技術的發展。

本書清晰地描述了十五種基於群體智慧且性能優越的重要現有優化演算法。對於工程師、研究人員、教職員和學生來說，這是一本寶貴的資源，幫助他們為各類問題（從計算機科學到經濟學）設計最佳解決方案，涵蓋了需要最大化產出和最小化資源的多樣領域。這是所有優化演算法的核心。

特色：
- 演算法的詳細描述，附有偽代碼和流程圖
- 易於轉換為程式碼，部分演算法的程式碼也可在 *Mathworks* 網站上獲得
- 提供簡單的範例以展示優化策略，增強理解
- 包含標準應用和基準數據集，用於測試和驗證演算法

本書是本科生和研究生的參考資料，對於教授優化的教職員也將非常有用。它同時也是一份全面的指南，適合尋求優化資源以獲得最佳解決方案的研究人員。自然啟發的優化演算法是非常規的，這使得它們比傳統的對應演算法更有效。

作者簡介

Dr. Vasuki A is currently working as Professor in the Department of Mechatronics Engineering at Kumaraguru College of Technology, Coimbatore, India. She has more than 27 years of teaching, research and academic administration experience. She has completed B.E in Electronics and Communication Engineering from PSG College of Technology in 1989. She has completed her postgraduate degree M.E Applied Electronics from Coimbatore Institute of Technology in 1991. She has done her Ph.D in Image Compression from PSG College of Technology under Anna University Chennai in 2010. Her research interests are Signal Processing, Image Processing, Communication and Optimization. She has published 3 Book Chapters, 38 National and International Journal papers and 60 National and International Conference papers. She has guided 30 PG projects and 50 UG projects. She is an approved Research Supervisor under Anna University Chennai and is currently guiding 9 research scholars.

作者簡介(中文翻譯)

Dr. Vasuki A 目前在印度科印巴多爾的 Kumaraguru College of Technology 機電工程系擔任教授。她擁有超過 27 年的教學、研究和學術管理經驗。她於 1989 年在 PSG College of Technology 完成電子與通信工程的學士學位（B.E.）。她於 1991 年在 Coimbatore Institute of Technology 完成應用電子學的碩士學位（M.E.）。她於 2010 年在安娜大學（Anna University Chennai）下的 PSG College of Technology 獲得影像壓縮的博士學位（Ph.D.）。她的研究興趣包括信號處理、影像處理、通信和優化。她已發表 3 篇書章、38 篇國內外期刊論文和 60 篇國內外會議論文。她指導過 30 個碩士研究專案和 50 個學士研究專案。她是安娜大學（Anna University Chennai）認可的研究指導教師，目前正在指導 9 位研究學者。

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