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

Name: Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions
Brand: Springer, Berlin
SKU: 9783031784392
Price: 194.14 EUR
Availability: InStock

Autor: Diego Oliva, Arturo Valdivia, Seyed Jalaleddin Mousavirad, Kanak Kalita

Jazyk:

Väzba: Pevná

Vydavateľ: Springer, Berlin

Dostupnosť: Skladom u dodávateľa v malom množstve

Odosielame za 9-15 dní

194.14 €

This book is an authoritative compilation of the latest advancements in optimization techniques. Thi...

Informácie o knihe

Autor

Diego Oliva, Arturo Valdivia, Seyed Jalaleddin Mousavirad, Kanak Kalita

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2025

Stránok

240

EAN

9783031784392

Enbook ID

46816255

Vydavateľ

Springer, Berlin

Hmotnosť

1471

Rozmery

155 x 235

Kompletný popis

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.

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

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Kompletný popis

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