Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making
Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making (Intelligent Data-Driven Systems and Artificial Intelligence) by Irfan Ali, Umar Muhammad Modibbo, Asaju La’aro Bolaji
English | December 26, 2024 | ISBN: 1032781114 | 212 pages | MOBI | 7.44 Mb
English | December 26, 2024 | ISBN: 1032781114 | 212 pages | MOBI | 7.44 Mb
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
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