Solving Computationally Expensive Engineering Problems

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InhaltsangabeSurrogate-based and One-shot Optimization Methods for PDE-constrained Problems with an Application in Climate Models.- Shape-Preserving Response Prediction for Surrogate Modeling and Engineering Design Optimization.- Nested Space Mapping Technique for Design and Optimization of Complex Microwave Structures with Enhanced Functionality.- Automated Low-Fidelity Model Setup for Surrogate-Based Aerodynamic Optimization.- Design Space Reduction for Expedited Multi-Objective Design Optimization of Antennas in Highly-Dimensional Spaces.- Numerically Efficient Approach to Simulation Driven Design of Planar Microstrip Antenna Arrays By Means of Surrogate-Based Optimization.- Optimal Design of Computationally Expensive EM-Based Systems: A Surrogate-Based Approach.- Atomistic Surrogate-Based Optimization for Simulation-Driven Design of Computationally Expensive Microwave Circuits with Compact Footprints.- Knowledge Based 3-Step Modeling Strategy Exploiting Artificial Neural Network.- Large-Scale Global Optimization via Swarm Intelligence.- Evolutionary Clustering for Synthetic Aperture Radar Images.- Automated Classification of Airborne Laser Scanning Point Clouds.- A Novel Approach to the Common Due-Date Problem on Single and Parallel Machines.- On Gaussian Processes for NARX Modelling and Their Associated Higher-order Frequency Response Functions.

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