@article{eprints747,
           title = {Kriging metamodel management in the design optimization of a CNG injection system},
          author = {Gabriella Dellino and Paolo Lino and Carlo Meloni and Alessandro Rizzo},
            year = {2009},
         journal = {Mathematics and computers in simulation},
          number = {8},
          volume = {79},
            note = {Nonstandard Applications of Computer Algebra; Applied Scientific Computing VI: Numerical Grid Generation, Approximation and Visualization; Modelling and Managing Financial Risk},
           pages = {2345 -- 2360},
       publisher = {Elsevier},
           month = {April},
             url = {http://eprints.imtlucca.it/747/},
        abstract = {This paper deals with the use of Kriging metamodels in multi-objective engineering design optimization. The metamodel management issue to find the tradeoff between accuracy and efficiency is addressed. A comparative analysis of different strategies is conducted for a case study devoted to the design of a component of the injection system for Compressed Natural Gas (CNG) engines. The computational results are reported and analyzed for a performance assessment conducted with a data envelopment analysis approach.},
        keywords = {Optimization; Evolutionary algorithms; Kriging metamodels; Design of Experiments; Metamodel management}
}