Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions

Language: English

Published by Springer Apr 2026, 2026

3031784421 / 9783031784422

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This item is printed on demand - Print on Demand Titel. Neuware -This book is an authoritative compilation of the latest advancements in optimization techniques. This book covers a wide array of methods ranging from classical to metaheuristic to AI-enhanced approaches.The chapters are meticulously selected and organized in three sections-metaheuristics, machine learning and engineering applications. This allows for an in-depth exploration of diverse topics ranging from image processing to feature selection to data clustering, to practical applications like energy optimization, smart grids, healthcare diagnostics, etc. Each chapter delves into the specific algorithms and applications as well as provides ample theoretical insights.Accordingly, this book is ideally suited for undergraduate and postgraduate students in fields such as science, engineering and computational mathematics. It is also an invaluable resource for courses on artificial intelligence, computational intelligence, etc. Researchers and professionals in evolutionary computation, artificial intelligence and engineering will find the material especially useful for advancing their work and exploring new frontiers in optimization. 820 pp. Englisch.

Seller Inventory # 9783031784422

Title
Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions
Author
Diego Oliva
Publisher
Springer Apr 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031784421
ISBN 13
9783031784422
Item weight
1,367 grams
Dimensions
235x155x41 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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