Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method
Sign Up to like & getrecommendations! Published in 2020 at "Geoderma"
DOI: 10.1016/j.geoderma.2020.114337
Abstract: Abstract Sampling design plays an important role in soil survey and soil mapping. Conditioned Latin hypercube sampling (cLHS) has been proven as an efficient sampling strategy and used widely in digital soil mapping. cLHS samples… read more here.
Keywords: sample; latin hypercube; mapping; conditioned latin ... See more keywords
Construction of orthogonal-MaxPro Latin hypercube designs
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Quality Technology"
DOI: 10.1080/00224065.2024.2353238
Abstract: Abstract Orthogonal Latin hypercube designs (LHDs) and maximum projection (MaxPro) LHDs are widely used in computer experiments. They are efficient for estimating the trend part and the Gaussian process part of the universal Kriging (i.e.,… read more here.
Keywords: orthogonal maxpro; latin hypercube; hypercube designs;
Hierarchical Latin Hypercube Sampling
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2016.1158717
Abstract: ABSTRACT Latin hypercube sampling (LHS) is a robust, scalable Monte Carlo method that is used in many areas of science and engineering. We present a new algorithm for generating hierarchic Latin hypercube sets (HLHS) that… read more here.
Keywords: latin hypercube; hypercube; hierarchical latin; lhs ... See more keywords
An efficient local search-based genetic algorithm for constructing optimal Latin hypercube design
Sign Up to like & getrecommendations! Published in 2019 at "Engineering Optimization"
DOI: 10.1080/0305215x.2019.1584618
Abstract: ABSTRACT Latin hypercube design (LHD) is a multi-stratified sampling method, which has been frequently used in sampling-based analysis. To achieve good space-filling quality of LHD, an efficient method, termed local search-based genetic algorithm (LSGA), is… read more here.
Keywords: based genetic; latin hypercube; search based; hypercube design ... See more keywords
Microarray classification using genetic algorithm and latin hypercube sampling
Sign Up to like & getrecommendations! Published in 2024 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v35.i3.pp1976-1985
Abstract: Cancer, the second leading cause of global death, requires advanced diagnostic technology. Microarray gene expression technology plays an important role in comprehensively analyzing the genetic aspects of cancer. However, challenges such as high-dimensional attributes, limited… read more here.
Keywords: classification; microarray; hypercube sampling; feature selection ... See more keywords
Metaheuristic Hyperparameter Optimization Using Optimal Latin Hypercube Sampling and Response Surface Methodology
Sign Up to like & getrecommendations! Published in 2025 at "Algorithms"
DOI: 10.3390/a18120732
Abstract: Hyperparameters allow metaheuristics to be tuned to a wide range of problems. However, even though formalized tuning of metaheuristic parameters can affect the quality of the solution, it is rarely performed. The empirical selection method… read more here.
Keywords: methodology; method; time; hypercube sampling ... See more keywords
A New Latin Hypercube Sampling with Maximum Diversity Factor for Reliability-Based Design Optimization of HLM
Sign Up to like & getrecommendations! Published in 2024 at "Symmetry"
DOI: 10.3390/sym16070901
Abstract: This research paper presents a new Latin hypercube sampling method, aimed at enhancing its performance in quantifying uncertainty and reducing computation time. The new Latin hypercube sampling (LHS) method serves as a tool in reliability-based… read more here.
Keywords: reliability; hypercube sampling; diversity; design ... See more keywords