Multi Objective Optimization of Diesel Engine Emission System Based on NSGA-II

2021 4th International Conference on Algorithms, Computing and Artificial Intelligence(2021)

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摘要
As a more efficient power machine at present, diesel engine is widely used in industry, large vehicles, ships, power generation and other industries. Because of its advantages of high thermal efficiency, low fuel consumption, strong power and long service life that diesel engine will continue to occupy a leading position in its application field in the next few decades.[1] However, because the diesel engine uses complex hydrocarbons as fuel, the air pollution caused by its exhaust gas is very serious, so the development of diesel engine in the future must shift from the concept of only power and economy to paying equal attention to both emission and economy. In this paper, the mainstream algorithm principle is introduced based on Non-dominated Sorting Genetic Algorithms – II. Aiming at solving the optimal solution between these conflicting parameters.
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