This project implements Latin Hypercube Sampling (LHS) and Fractional Factorial Design (FFD) methods to generate scenarios for a stated preference survey. The survey focuses on examining the factors ...
I want to run the NSGA-II in python interface with points generated by Latin hypercube sampling as initial position.. I would like to know how can I use data gain by Latin hypercube sampling gained by ...
Abstract: In this study, we present an initial experimental design for Bayesian optimization (BO) applied to the semiconductor process development. For efficient BO, it can be effective to draw ...
Abstract: In response to operational stability challenges stemming from the inherent randomness and volatility of high-penetration wind-solar power sources in the grid, it is crucial to statistically ...
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