Surrogate Modeling And Optimization: Theories, Applications, And Limitations

Surrogate Modelling and Optimisation provides a comprehensive introduction to surrogate modelling techniques and their applications in design optimisation, uncertainty quantification, and engineering analysis. Covering topics such as Kriging models, neural networks, optimisation algorithms, and multi-fidelity surrogates, the book combines theoretical foundations with practical MATLAB implementations and real-world examples. It is an essential resource for engineering students, researchers, and industry professionals working in computational modelling and optimisation.