Optimizing two-level orthogonal arrays for simultaneously estimating main effects and pre-specified two-factor interactions

Chen, Ping Yang; Chen, Chih-Chia; Lin, Cong

doi:10.1016/j.csda.2017.08.012

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…P.‐Y. Chen et al (2018) efficiently found two‐level orthogonal arrays for prespecified model structure by selecting columns in a Hadamard matrix. An earlier work is Phoa et al (2016), who seems to be the first to propose a swarm‐based type of algorithm to find high‐dimensional supersaturated designs under the E ( s 2 )‐criterion.…”

Section: Pso For Finding Efficient Experimental Designsmentioning

confidence: 99%

Particle swarm optimization for searching efficient experimental designs: A review

Chen

Wong

2022

WIREs Computational Stats

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The class of nature‐inspired metaheuristic algorithms is increasingly used to tackle all kinds of optimization problems across disciplines. It also plays an important component in artificial intelligence and machine learning. Members in this class are general purpose optimization tools that virtually require no assumptions for them to be applicable. There are many such algorithms, and to fix ideas, we review one of its exemplary members called particle swarm optimization (PSO). We discuss the algorithm, its recent applications to find different types of efficient experimental designs, and provide resources, where codes for PSO and other metaheuristic algorithms and tutorials with examples are available. This article is categorized under: Algorithms and Computational Methods > Genetic Algorithms and Evolutionary Computing

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Section: Pso For Finding Efficient Experimental Designsmentioning

confidence: 99%

Particle swarm optimization for searching efficient experimental designs: A review

Chen

Wong

2022

WIREs Computational Stats

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Optimal designs for semi-parametric dose-response models under random contamination

Meng²,

Wang³

2023

Computational Statistics & Data Analysis

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Particle swarm exchange algorithms with applications in generating optimal model-discrimination designs

Chen

2022

Quality Engineering

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Optimizing two-level orthogonal arrays for simultaneously estimating main effects and pre-specified two-factor interactions

Cited by 3 publications

References 15 publications

Particle swarm optimization for searching efficient experimental designs: A review

Particle swarm optimization for searching efficient experimental designs: A review

Optimal designs for semi-parametric dose-response models under random contamination

Particle swarm exchange algorithms with applications in generating optimal model-discrimination designs

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