minimaxALT-package: minimaxALT: Generate Optimal Designs of Accelerated Life Test...

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

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

Description

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, submitted to Annals of Applied Statistics, https://imstat.org/journals-and-publications/annals-of-applied-statistics/annals-of-applied-statistics-next-issues/, and Hoang (2025), Model-Robust Minimax Design of Accelerated Life Tests via PSO-based Hybrid Algorithm, Master' Thesis, Unpublished.

Author(s)

Maintainer: Hoai-Linh Hoang [e-mail]

Authors:

• I-Chen Lee

• Ping-Yang Chen

• Ray-Bing Chen

• Weng Kee Wong

See Also

Useful links:

• https://github.com/hoanglinh171/minimaxALT

• Report bugs at https://github.com/hoanglinh171/minimaxALT/issues

minimaxALT documentation built on Nov. 5, 2025, 5:35 p.m.