专题:Optimal Experimental Design Methods

This cluster of papers focuses on the theory and application of experimental design and optimization methods, including Response Surface Methodology, Taguchi Method, multi-response optimization, Bayesian design, factorial designs, robust parameter design, and spatial analysis. The papers cover a wide range of applications in various fields such as engineering, manufacturing, biotechnology, and agriculture.
最新文献
近5年高被引文献
Recent advances and applications of surrogate models for finite element method computations: a review

article Full Text OpenAlex 354 FWCI35.6906

Methods for experimental design, central composite design and the Box–Behnken design, to optimise operational parameters: A review

article Full Text OpenAlex 274 FWCI53.0031

Fundamentals of Experimental Design

other Full Text OpenAlex 243 FWCI0

Difference-in-differences with a Continuous Treatment

report Full Text OpenAlex 155 FWCI0

Response surface methodology (RSM): An overview to analyze multivariate data

article Full Text OpenAlex 145 FWCI28.0491

Design of experiments applied to lithium-ion batteries: A literature review

article Full Text OpenAlex 144 FWCI7.5997

The Versatility of the Taguchi Method: Optimizing Experiments Across Diverse Disciplines

article Full Text OpenAlex 135 FWCI45.8095

Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization

book-chapter Full Text OpenAlex 131 FWCI116.7573

Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation

article Full Text OpenAlex 131 FWCI15.2485

A Surrogate-Assisted Differential Evolution Algorithm for High-Dimensional Expensive Optimization Problems

article Full Text OpenAlex 109 FWCI12.2947