GitHub

diantw00rd/survey_variables_sampling

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 ...
GitHub

This project is about implementing Park's (1994) algorithm for Optimal Latin Hypercube sampling in a python function.

This project is not actively worked on right now (May 2023). Until now only the two steps of the first stage of Park's algorithm are implemented. To Dos: Cleaning up the code, modularization More ...
IEEE

Global optimization of electromagnetic devices combining Latin hypercube sampling experiment and adaptive response surface method

Abstract: This paper presents a global optimization algorithm of electromagnetic devices using an adaptive response surface approximation of the objective function with sampling strategy based on ...
IEEE

Reliability Evaluation of Distribution Network Considering Cyber-Physical Fusion Based on Sequential Latin Hypercube Sampling

Abstract: The traditional sequential Monte Carlo simulation method has repeated sampling and slow convergence speed due to the influence of variance accuracy, which affects the efficiency of ...