Titlebook: Computational Optimization and Applications in Engineering and Industry; Xin-She Yang,Slawomir Koziel Book 2011 Springer Berlin Heidelberg

云状

Simulation-Driven Design in Microwave Engineering: Application Case Studies,red techniques that the optimization of the original high-fidelity EM-simulated model is replaced by the iterative optimization of its computationally cheap surrogate. The surrogate is updated using available high-fidelity model data to maintain its prediction capability throughout the optimization

铁塔等

Airfoil Shape Optimization Using Variable-Fidelity Modeling and Shape-Preserving Response Predictiomajor design tool. However, as CFD simulation of the fluid flow past airfoils is computationally expensive, and numerical optimization often requires a large number of simulations with several design variables, direct optimization may not be practical. This chapter describes a computationally effici

perimenopause

Evolutionary Optimisation Techniques to Estimate Input Parameters in Environmental Emergency Modellons for disaster propagation prediction, where hard real-time constraints have to be met to avoid tragedy, the additionally introduced computational burden of advanced global optimisation algorithms still hampers their use in many cases and poses an ongoing challenge. In this chapter we demonstrate