Optimization and computing using intelligent data-driven approaches for decision-making : artificial intelligence applications /
"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...
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
2025.
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| Edition: | First edition. |
| Series: | Intelligent data-driven systems and artificial intelligence
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "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 the power consumption prediction. Discusses 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"-- |
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| Physical Description: | 1 online resource (xi, 199 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781003503057 1003503055 9781040164679 1040164676 9781040164709 1040164706 |