Dataset for multi-objective optimization of methanol/diesel engine parameters based on SS-ANOVA and a hybrid approximate model

This dataset supports the paper titled "Multi-objective optimization of parameters for methanol/diesel engines based on SS-ANOVA and a hybrid approximate model". It contains the raw data and processed results throughout the multi-objective parameter optimization process for a methanol/diesel engine based on SS-ANOVA and a hybrid approximate model. The dataset comprises five Excel files:1. Comparison of target performance before and after optimization.xlsx: Data comparing target performance before and after optimization.2. Data standardization after DOE.xlsx: Standardized data after Design of Experiments (DOE).3. Data standardization before DOE.xlsx: Standardized data before Design of Experiments (DOE).4. Optimal solution of parameters and response variables.xlsx: The optimal solution for parameters and response variables.5. The comparison between response surface predicted values and actual values.xlsx: Data comparing response surface predicted values with actual values.This data can be used to validate the models presented in the paper, replicate the analysis results, or conduct further research on engine parameter optimization.