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Textbook:Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making Artificial Intelligence Applications
Author(s): Irfan Ali,
Course description:
This reference coursebook discusses nature‑inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It will further cover important topics such as linking green supply chain management practices with competitiveness, Industry 4.0, and social responsibility.
• Addresses solving practical problems such as supply chain manage‑
ment, 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 environ‑
mental and economic sustainability.
• Explains the use of heuristics and metaheuristics in supply chain net‑
works and the use of fuzzy optimization in sustainable development goals.
Optimization and Computing using Intelligent Data-Driven Approaches for Decision.pdf
(4.82 MB, 需要: RMB 19 元)
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