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Data Driven Global Optimization Methods by Dong Huachao (19 results)
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Data-Driven Global Optimization Methods and Applications
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Fine.
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Data-driven Global Optimization Methods and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Data-driven Global Optimization Methods and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Data-Driven Global Optimization Methods and Applications
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1041065752 ISBN 13: 9781041065753
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Data-Driven Global Optimization Methods and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketHardcover. Condition: Brand New. 320 pages. 9.18x6.12x9.45 inches. In Stock.
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Data-Driven Global Optimization Methods and Applications (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1041065752 ISBN 13: 9781041065753
Hardcover. Condition: new. Hardcover. This book presents recent advances in data-driven global optimization methods, combining theoretical foundations with real-world applications to address complex engineering optimization challenges.The book begins with an overview of the state of the art, key technologies and standard benchmark problems in the field. It then delves into several innovative approaches: space reduction-based, hybrid surrogate model-based and multi-surrogate model-based global optimization, followed by surrogate-assisted constrained global optimization, discrete global optimization and high-dimensional global optimization. These methods represent a variety of optimization techniques that excel in both optimization capability and efficiency, making them ideal choices for complex engineering optimization problems. Through benchmark test problems and real-world engineering applications, the book illustrates the practical implementation of these methods, linking established theories with cutting-edge research in industrial and engineering optimization.Both a professional book and an academic reference, this title will provide valuable insights for researchers, students, engineers and practitioners in a variety of fields, including optimization methods and algorithms, engineering design and manufacturing and artificial intelligence and machine learning. This book presents recent advances in data-driven global optimization methods, combining theoretical foundations with real-world applications to address complex engineering optimization challenges. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Data-Driven Global Optimization Methods and Applications (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1041065752 ISBN 13: 9781041065753
US$ 150.50
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Add to basketHardcover. Condition: new. Hardcover. This book presents recent advances in data-driven global optimization methods, combining theoretical foundations with real-world applications to address complex engineering optimization challenges.The book begins with an overview of the state of the art, key technologies and standard benchmark problems in the field. It then delves into several innovative approaches: space reduction-based, hybrid surrogate model-based and multi-surrogate model-based global optimization, followed by surrogate-assisted constrained global optimization, discrete global optimization and high-dimensional global optimization. These methods represent a variety of optimization techniques that excel in both optimization capability and efficiency, making them ideal choices for complex engineering optimization problems. Through benchmark test problems and real-world engineering applications, the book illustrates the practical implementation of these methods, linking established theories with cutting-edge research in industrial and engineering optimization.Both a professional book and an academic reference, this title will provide valuable insights for researchers, students, engineers and practitioners in a variety of fields, including optimization methods and algorithms, engineering design and manufacturing and artificial intelligence and machine learning. This book presents recent advances in data-driven global optimization methods, combining theoretical foundations with real-world applications to address complex engineering optimization challenges. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Data-Driven Global Optimization Methods and Applications
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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US$ 150.87
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Huachao Dong is Associate Professor at the School of Marine Science and Technology at Northwestern Polytechnical University, China. His research includes underwater vehicle design, digital design, multidisciplinary optimization, digital twins for .
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Data-Driven Global Optimization Methods and Applications
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1041065752 ISBN 13: 9781041065753
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 208.37
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
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Data-Driven Global Optimization Methods and Applications (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1041065752 ISBN 13: 9781041065753
Hardcover. Condition: new. Hardcover. This book presents recent advances in data-driven global optimization methods, combining theoretical foundations with real-world applications to address complex engineering optimization challenges.The book begins with an overview of the state of the art, key technologies and standard benchmark problems in the field. It then delves into several innovative approaches: space reduction-based, hybrid surrogate model-based and multi-surrogate model-based global optimization, followed by surrogate-assisted constrained global optimization, discrete global optimization and high-dimensional global optimization. These methods represent a variety of optimization techniques that excel in both optimization capability and efficiency, making them ideal choices for complex engineering optimization problems. Through benchmark test problems and real-world engineering applications, the book illustrates the practical implementation of these methods, linking established theories with cutting-edge research in industrial and engineering optimization.Both a professional book and an academic reference, this title will provide valuable insights for researchers, students, engineers and practitioners in a variety of fields, including optimization methods and algorithms, engineering design and manufacturing and artificial intelligence and machine learning. This book presents recent advances in data-driven global optimization methods, combining theoretical foundations with real-world applications to address complex engineering optimization challenges. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents recent advances in data-driven global optimization methods, combining theoretical foundations with real-world applications to address complex engineering optimization challenges.
