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This paper is dedicated to find a unique solution for the optimization of engine performance and emissions which have a trade-off between NOx-soot-BSFC. To develop regression models for engine performance and emissions, multiple nonlinear regression with uniform design is employed. And the accuracy of the predictive models has revealed the good performance and high efficiency of uniform design. The multi-objective optimization with weighted sum method is conducted for multi-objective optimization and weights which represent relative importance of different objective can be suitably varied to meet the different desire of engine designers. Finally, four optimization objectives have conducted and validated which confirmed the feasible of this optimization approach.

Multi-objective optimization of a CRDI assisted diesel engine with predictive regression model developed by uniform design