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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to Ai-enhanced Solutions - Couverture rigide
- ÉditeurSpringer International Publishing AG
- Date d'édition2025
- ISBN 10 3031784391
- ISBN 13 9783031784392
- ReliureRelié
- Langueanglais
- Nombre de pages806
- ÉditeurOliva Diego, Valdivia Arturo, Mousavirad Seyed Jalaleddin, Kalita Kanak
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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications : From Classical Methods to Ai-enhanced Solutions
Edité par
Springer, 2025
ISBN 10 : 3031784391
ISBN 13 : 9783031784392
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 50224785
Quantité disponible : Plus de 20 disponibles
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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications : From Classical Methods to Ai-enhanced Solutions
Edité par
Springer, 2025
ISBN 10 : 3031784391
ISBN 13 : 9783031784392
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 50224785
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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions
Edité par
Springer, Berlin, Springer Nature Switzerland, Springer, 2025
ISBN 10 : 3031784391
ISBN 13 : 9783031784392
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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. 806 pp. Englisch. N° de réf. du vendeur 9783031784392
Quantité disponible : 2 disponible(s)
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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications : From Classical Methods to Ai-enhanced Solutions
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 50224785-n
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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions
Edité par
Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10 : 3031784391
ISBN 13 : 9783031784392
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783031784392
Quantité disponible : 1 disponible(s)
Image d'archives
Advances in Optimization Algorithms for Multidisciplinary Engineering Applications : From Classical Methods to Ai-enhanced Solutions
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 50224785-n
Quantité disponible : Plus de 20 disponibles