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

Discover the cutting-edge insights in "Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions" by Diego Oliva. Published by Springer International Publishing AG in 2025, this comprehensive hardback spans 806 pages, offering a thorough exploration of optimization techniques. The book delves into a diverse range of methods, encompassing classical approaches, metaheuristics, and innovative AI-enhanced solutions. Each chapter is meticulously curated and organized into three distinct sections: metaheuristics, machine learning, and real-world engineering applications. This essential resource is perfect for engineers, researchers, and students looking to deepen their understanding of optimization algorithms and their practical applications across various disciplines. Enhance your expertise and stay ahead in the ever-evolving field of engineering with this authoritative guide.