Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey <s> 4) Exhaust Manifold Optimization: <s> Multiobjective design optimization system of exhaust manifold shapes for a car engine has been developed using Divided Range Multiobjective Genetic Algorithm (DRMOGA) to obtain more engine power as well as to achieve less environmental impact. The three-dimensional manifold shapes are evaluated by the unstructured, unsteady Euler code coupled with the empirical engine cycle simulation code. This automated design system using DRMOGA was confirmed to find Pareto solutions for the highly nonlinear problems. <s> BIB001 </s> Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey <s> 4) Exhaust Manifold Optimization: <s> Multiobjective design optimization system of exhaust manifold shapes for a car engine has been developed using Divided Range Multiobjective Genetic Algorithm (DRMOGA) to obtain more engine power as well as to achieve less environmental impact. The three-dimensional manifold shapes are evaluated by the unstructured, unsteady Euler code coupled with the empirical engine cycle simulation code. This automated design system using DRMOGA was confirmed to find Pareto solutions for the highly nonlinear problems. <s> BIB002
The exhaust gas of engines should be kept at a high temperature in the exhaust pipe as the catalyst located at the end of the exhaust pipe absorb more pollutant at a high temperature. Therefore, designing the shape of an exhaust pipe of engines is an optimization process which affects the amount of pollutants. A multiobjective optimization design system of exhaust manifold shapes of a car engine was proposed in BIB002 and BIB001 , where a divided range MOEA was used with the objectives of optimizing engine power and exhaust gases. An engine simulator coupled with the unsteady Euler code was used in the optimization.