# LHD v1.1.0

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## Latin Hypercube Designs (LHDs) Algorithms

Contains different algorithms for efficient Latin Hypercube Designs (LHDs) with flexible sizes. Our package is comprehensive since it is capable of generating nearly orthogonal LHDs, maximin distance LHDs, and maximum projection LHDs. Documentation for each algorithm includes useful information and explanation along with corresponding references. This package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, design of computer experiments.

## Functions in LHD

 Name Description SA2008 Simulated Annealing for LHD with Multi-objective Optimization Approach OASA Orthogonal-Array-Based Simulated Annealing SLHD Sliced Latin Hypercube Design (SLHD) GA Genetic Algorithm for LHD MaxAbsCor Calculate the Maximum Absolute Correlation AvgAbsCor Calculate the Average Absolute Correlation LaPSO Particle Swarm Optimization for LHD phi_p Calculate the phi_p Criterion SA Simulated Annealing for LHD MaxProCriterion Calculate the Maximum Projection Criterion dij Calculate the Inter-site Distance exchange Exchange two random elements OA2LHD Transfer an Orthogonal Array (OA) into an LHD rLHD Generate a random Latin Hypercube Design (LHD) No Results!