Modeling and optimization I: Usability of response surface methodologyDeniz Baş, İsmail Hakkı Boyacı2006-02-08articleJournal of Food Engineering2,159 citationsclosedNo readable copy stored yet — this record is metadata only.Optimal Experimental Design MethodsAdvanced Optimization Algorithms ResearchAdvanced Scientific Research MethodsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 2,159 citations exist upstream.References1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments1996Response Surface Methodology: Process and Product Optimization Using Designed ExperimentsCited by2017Applications of Response Surface Methodology in the Food Industry Processes2017Experimental design and response surface methodology in energy applications: A tutorial review2016A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design2023Methods for experimental design, central composite design and the Box–Behnken design, to optimise operational parameters: A review2021Response surface methodology: A review on its applications and challenges in microbial cultures2022Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources2023Response surface methodology (RSM): An overview to analyze multivariate data2022Design of experiments applied to lithium-ion batteries: A literature review