Multi-Objective Optimization of Internal Combustion Engine Valve Springs Based on NSGA-II

You Jian Wang; Guang Zhang

doi:10.4028/www.scientific.net/AMR.945-949.473

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Multi-Objective Optimization of Internal...

Multi-Objective Optimization of Internal Combustion Engine Valve Springs Based on NSGA-II

Abstract:

The design of engine valve spring generally belongs to multi-objective optimum design. The traditional trying means and the graphical methods are difficult to solve the multi-objective optimization problem, and the traditional multi-objective algorithms have certain defects. The elitist non-dominated sorting genetic algorithm (NSGA-II) is an excellent multi-objective algorithm, which is widely used to solve problems of multi-objective optimization. This method can improve the design quality and efficiency, and it has much more engineering practical value.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

473-477

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.473

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Online since:

June 2014

Authors:

You Jian Wang, Guang Zhang

Keywords:

Combustion Engine, Multi-Objective, NSGA-II, Valve Spring

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References

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