Methodology for Combustion Engine Multi-Objective Optimization using Meta-Models and Genetic Algorithms

Author: 
R.Wohlgethan, G. Koottakara, G. Buccilli (Enginsoft), J. Silvestri, J. Zenker (Gamma Technologies)

This work presents a methodology for multi-objective optimization of a Diesel-engine. The objectives are maximizing the brake power while minimizing NOx emissions, using GT-POWER for the combustion analysis and modeFRONTIER for Design of Experiment (DOE) and multi-objective optimization. In the optimization process, modeFRONTIER runs in batch GT-POWER to create the new designs and to do the engine calculations.

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