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Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making

Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making : Artificial Intelligence Applications.

・ISBN 978-1-032-82120-7 paper GB£ 55.99

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お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9781003503057
著者・編者Ali, Irfan / Modibbo, Umar Muhammad / Bolaji, Asaju La'aro / Garg, Harish (eds.),
シリーズIntelligent Data-Driven Systems and Artificial Intelligence
出版社(CRC Press, UK)
出版年月2026
ページ数216 pp.
言語ENG
ニュース番号<M25-25634>

解説

This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility.

This book:

  • Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computing
  • Presents a comparative analysis of machine learning algorithms for power consumption prediction
  • Discusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environment
  • Illustrates a data-driven optimization concept for modeling environmental and economic sustainability
  • Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals

The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.