Solving computationally expensive engineering problems : methods and applications / edited by Slawomir Koziel, Leifur Leifsson, Xin-She Yang.

Springer eBooks

Surrogate-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.

Para consulta fuera de la UANL se requiere clave de acceso remoto.