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

A simple code for running ANSYS Electronics Desktop (ANSYS Maxwell) from MATLAB.

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

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

Shiny app to compute the sample size for optimal designs for univariate norming based on the methods derived in Innocenti et al. (2023, Psychological Methods, 28(1), 89–106)

Assessing the validity and reproducibility of genome-scale predictions

Selection of the optimal configuration for the toroidal-lattice communication network.

R scripts of Innocenti et al. (2021, Statistical Methods in Medical Research, 30(2), 357-375)

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.

Shiny app to compute the sample size for optimal designs for multivariate norming based on the methods developed in Innocenti et al. (2024, Journal of Educational and Behavioral Statistics, 49(5), 817-847)