Population Experimental Design (PopED) in R
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Updated
Nov 21, 2023 - R
Population Experimental Design (PopED) in R
Code for FLEX, a fast, adaptive and flexible model-based reinforcement learning exploration algorithm.
Optimal Design of a Synchronous Reluctance Motor Using BioGeography-Based Optimization
Code to compute Optimal Experimental Design as in Balietti, Klein & Riedl (2020)
Pythonic Aerospace Vehicle Designer - A highly modular conceptual Aircraft designer, coupling geometric global optimization with Raymer, Roskam, Levis and other cool workflows
A simple code for running ANSYS Electronics Desktop (ANSYS Maxwell) from MATLAB.
Computing approximate optimal designs for multivariate polynomial regressions
R package for sample size calculation for the Wilcoxon-Mann-Whitney test.
A Github Repo for Competitive Swarm Optimizer with Mutated Agents.
Source Code of NestedPSO Algorithm for Finding Standardized Maximin D-optimal Design for Enzyme Inhibition Models
Torque Ripple Minimization for a Switch Reluctance Motor Using the Ant Lion Optimization Algorithm
Selection of the optimal configuration for the toroidal-lattice communication network.
Assessing the validity and reproducibility of genome-scale predictions
This GitHub is an implementation of the paper 'A Model-based Approach to Designing Developmental Toxicology Experiments using Sea Urchin Embryos' and the associated R Shiny app.
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