A sequential designing-modeling technique when the input factors are not equally important
From MaRDI portal
Publication:6144318
DOI10.1007/s40314-023-02519-zMaRDI QIDQ6144318
A. M. Elsawah, Yi-An Wang, Zhihan Chen, Fatih Tank
Publication date: 5 January 2024
Published in: Computational and Applied Mathematics (Search for Journal in Brave)
modelingdesign of experimentlatin hypercube designmass centerssequential stages' experimentsingle-stage experiment
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Small sample sensitivity analysis techniques for computer models.with an application to risk assessment
- Multiple doubling: a simple effective construction technique for optimal two-level experimental designs
- A systematic construction approach for nonregular fractional factorial four-level designs via quaternary linear codes
- A novel non-heuristic search technique for constructing uniform designs with a mixture of two- and four-level factors: a simple industrial applicable approach
- Designing optimal large four-level experiments: a new technique without recourse to optimization softwares
- Improving the space-filling behavior of multiple triple designs
- An appealing technique for designing optimal large experiments with three-level factors
- Space-filling Latin hypercube designs for computer experiments
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- MONTE CARLO METHODS FOR SOLVING MULTIVARIABLE PROBLEMS
- Novel techniques for performing successful follow-up experiments based on prior information from initial-stage experiments
- Design of experiments and machine learning to improve robustness of predictive maintenance with application to a real case study
- A closer look at de-aliasing effects using an efficient foldover technique
- A powerful and efficient algorithm for breaking the links between aliased effects in asymmetric designs
- An improvement of the standard genetic algorithm fighting premature convergence in continuous optimization
- A new non-iterative deterministic algorithm for constructing asymptotically orthogonal maximin distance Latin hypercube designs
This page was built for publication: A sequential designing-modeling technique when the input factors are not equally important