Generate Optimal Designs of Accelerated Life Test using PSO-Based Algorithm

A computationally efficient solution for generating optimal experimental designs in Accelerated Life Testing (ALT). Leveraging a Particle Swarm Optimization (PSO)-based hybrid algorithm, the package identifies optimal test plans that minimize estimation variance under specified failure models and stress profiles. For more detailed, see Lee et al. (2025), Optimal Robust Strategies for Accelerated Life Tests and Fatigue Testing of Polymer Composite Materials .


Reference manual

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install.packages("minimaxALT")

1.0.4 by Hoai-Linh Hoang, a month ago


https://github.com/hoanglinh171/minimaxALT


Report a bug at https://github.com/hoanglinh171/minimaxALT/issues


Browse source code at https://github.com/cran/minimaxALT


Authors: Hoai-Linh Hoang [aut, cre] , I-Chen Lee [aut] , Ping-Yang Chen [aut] , Ray-Bing Chen [aut] , Weng Kee Wong [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Rcpp, ggplot2, parallel, stats, graphics

Suggests knitr, rmarkdown, testthat

Linking to Rcpp, RcppArmadillo, RcppGSL

System requirements: GNU Scientific Library (GSL), OpenMP


See at CRAN