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 13 A Novel Approach to the Common Due-Date Problem on Single and Parallel Machines

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