Beschreibung
Authors Alexander I.J. Forrester, Andras Sóbester, and Andy Keane unravel the intricacies of surrogate modeling, addressing both theoretical foundations and practical applications. With a focus on enhancing the design process, they provide insights that streamline decision-making, significantly cutting down the time and costs typically associated with traditional evaluation methods.
Delving into real-world case studies and offering hands-on strategies, the authors equip readers with the tools necessary to implement surrogate models effectively. This practical guide stands as an essential resource for practitioners and students alike, fostering a deeper understanding of design optimization in modern engineering contexts.