Pareto Front Estimation Using Unit Hyperplane
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Updated
Jun 8, 2024 - MATLAB
Pareto Front Estimation Using Unit Hyperplane
Codes and documentation for a few class projects
Surrogate-Assisted Tuning
Autonomous field exploration simulation framework
Robust Simulation Optimization Kriging
GMPE-estimation implements a one-stage estimation algorithm to estimate ground-motion prediction equations (GMPE) with spatial correlation. It also quantifies the uncertainty of spatial correlation and intensity measure predictions.
The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior.
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
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