Evolutionary Optimization Algorithms
暫譯: 進化優化演算法

Q. H. Badar, Altaf

  • 出版商: CRC
  • 出版日期: 2021-10-12
  • 售價: $4,910
  • 貴賓價: 9.5$4,665
  • 語言: 英文
  • 頁數: 261
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367750546
  • ISBN-13: 9780367750541
  • 相關分類: Algorithms-data-structures
  • 海外代購書籍(需單獨結帳)

商品描述

This comprehensive reference text discusses evolutionary optimization techniques, to find optimal solutions for single and multi-objective problems.

The text presents each evolutionary optimization algorithm along with its history and other working equations. It also discusses variants and hybrids of optimization techniques. The text presents step-by-step solution to a problem and includes software's like MATLAB and Python for solving optimization problems. It covers important optimization algorithms including single objective optimization, multi objective optimization, Heuristic optimization techniques, shuffled frog leaping algorithm, bacteria foraging algorithm and firefly algorithm.

Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, mechanical engineering, and computer science and engineering, this text:

  • Provides step-by-step solution for each evolutionary optimization algorithm.
  • Provides flowcharts and graphics for better understanding of optimization techniques.
  • Discusses popular optimization techniques include particle swarm optimization and genetic algorithm.
  • Presents every optimization technique along with the history and working equations.
  • Includes latest software like Python and MATLAB.

商品描述(中文翻譯)

這本全面的參考書探討了進化優化技術,以尋找單一和多目標問題的最佳解決方案。

本書介紹了每種進化優化演算法及其歷史和其他工作方程式。它還討論了優化技術的變體和混合型。書中提供了逐步解決問題的過程,並包括使用 MATLAB 和 Python 解決優化問題的軟體。內容涵蓋了重要的優化演算法,包括單目標優化、多目標優化、啟發式優化技術、洗牌青蛙跳躍演算法、細菌覓食演算法和螢火蟲演算法。

本書針對電機工程、電子工程、機械工程以及計算機科學與工程領域的高年級本科生和研究生,內容包括:

- 為每種進化優化演算法提供逐步解決方案。
- 提供流程圖和圖形,以便更好地理解優化技術。
- 討論流行的優化技術,包括粒子群優化和遺傳演算法。
- 介紹每種優化技術的歷史和工作方程式。
- 包含最新的軟體,如 Python 和 MATLAB。

作者簡介

Altaf Q. H. Badar is currently working as an assistant professor, department of electrical engineering, National Institute of Technology, Warangal. His research areas include artificial intelligence applications to power systems, evolutionary optimization techniques, and smart home energy management systems. He has taught courses including electric and magnetic fields, and real-time control of power systems. He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and Indian Society for Technical Education (ISTE).

作者簡介(中文翻譯)

Altaf Q. H. Badar 目前擔任印度瓦朗加爾國立技術學院電機工程系的助理教授。他的研究領域包括人工智慧在電力系統中的應用、演化優化技術以及智慧家庭能源管理系統。他教授的課程包括電場與磁場以及電力系統的即時控制。他是電氣與電子工程師學會(IEEE)和印度技術教育學會(ISTE)的成員。