Applied Genetic Algorithm and Its Variants: Case Studies and New Developments

Dey, Nilanjan

Applied Genetic Algorithm and Its Variants: Case Studies and New Developments
  • 出版商: Springer
  • 出版日期: 2024-07-03
  • 售價: $7,180
  • 貴賓價: 9.5 折 $6,821
  • 語言: 英文
  • 頁數: 245
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819934303
  • ISBN-13: 9789819934300
  • 相關分類: Algorithms-data-structures

    • 海外代購書籍(需單獨結帳)

商品描述

This book provides fundamental concepts related to various types of genetic algorithms and practical applications in various domains such as medical imaging, manufacturing, and engineering design. The book discusses genetic algorithms which are used to solve a variety of optimization problems. The genetic algorithms are demonstrated to offer reliable search in complex spaces. The book presents high-quality research work by academics and researchers which is useful for young researchers and students.

作者簡介

Nilanjan Dey is Associate Professor, Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is Visiting Fellow of the University of Reading, UK. He was Honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his Ph.D. from Jadavpur University in 2015. He has authored/edited more than 70 books with Elsevier, CRC Press, and Springer and published more than 300 papers. He is Editor-in-Chief of International Journal of Ambient Computing and Intelligence, IGI Global, and Associated Editor of International Journal of Information Technology, Springer. He is Series Co-editor of Springer Tracts in Nature-Inspired Computing, Springer, Series Co-editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, and Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC. He is Fellow of IETE and Senior Member of IEEE.


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