Generate Optimal Designs of Accelerated Life Test using PSO-Based Algorithm
Check Equivalence Theorem for Optimal Design
Find Optimal ALT Design Using Hybrid Algorithm
Initialize Particle Swarm Optimization and Nelder-Mead Algorithm Value...
minimaxALT: Generate Optimal Designs of Accelerated Life Test using PS...
Set PSO Optimization Settings
Set ALT Design Information
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 <doi:10.1214/25-AOAS2075>, and Hoang (2025), Model-Robust Minimax Design of Accelerated Life Tests via PSO-based Hybrid Algorithm, Master' Thesis, Unpublished.
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