Advances in Optimization Algorithms for Multidisciplinary Engineering Applications
Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions
Diego Oliva, Arturo Valdivia
English | 2025 | ISBN: 3031784391 | 806 Pages | True PDF | 49 MB
Diego Oliva, Arturo Valdivia
English | 2025 | ISBN: 3031784391 | 806 Pages | True PDF | 49 MB
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 gorithms and applications as well as providing theoretos. ical 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 engineering will find the material especially useful for advancing their work and exploring new tiers. optimization.