Solving Computationally Expensive Engineering Problems

Chapter 1 Surrogate-Based and One-Shot Optimization Methods for PDE-Constrained Problems with an Application in Climate Models

Chapter 2 Shape-Preserving Response Prediction for Surrogate Modeling and Engineering Design Optimization

Chapter 3 Nested Space Mapping Technique for Design and Optimization of Complex Microwave Structures with Enhanced Functionality

Chapter 4 Automated Low-Fidelity Model Setup for Surrogate-Based Aerodynamic Optimization

Chapter 5 Design Space Reduction for Expedited Multi-Objective Design Optimization of Antennas in Highly Dimensional Spaces

Chapter 6 Numerically Efficient Approach to Simulation-Driven Design of Planar Microstrip Antenna Arrays By Means of Surrogate-Based Optimization

Chapter 7 Optimal Design of Computationally Expensive EM-Based Systems: A Surrogate-Based Approach

Chapter 8 Atomistic Surrogate-Based Optimization for Simulation-Driven Design of Computationally Expensive Microwave Circuits with Compact Footprints

Chapter 9 Knowledge Based Three-Step Modeling Strategy Exploiting Artificial Neural Network

Chapter 10 Large-Scale Global Optimization via Swarm Intelligence

Chapter 11 Evolutionary Clustering for Synthetic Aperture Radar Images

Chapter 12 Automated Classification of Airborne Laser Scanning Point Clouds

Chapter 14 On Gaussian Process NARX Models and Their Higher-Order Frequency Response Functions