Optimisation multi-objectifs à base de métamodèle pour des applications en mise en forme des métaux

Mohsen Ejday, Lionel Fourment
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引用次数: 5

Abstract

To apply multi-objective optimization algorithms to highly time expensive metal forming applications, the coupling of the NSGA-II genetic algorithm proposed by Deb with metamodels based on the Meshless Finite Difference Method (MFDM) proposed by Liszka and Orkisz is investigated. The importance of iteratively improving the metamodel during the optimization iterations is highlighted, as well as the capability to accurately determine the Pareto optimal fronts of the studied problems within less than hundred calculations.
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基于元模型的金属成形应用的多目标优化
为了将多目标优化算法应用于高时间昂贵的金属成形应用,研究了Deb提出的NSGA-II遗传算法与Liszka和Orkisz提出的基于无网格有限差分法(MFDM)的元模型的耦合。强调了在优化迭代过程中迭代改进元模型的重要性,以及在不到100次计算中准确确定所研究问题的Pareto最优前沿的能力。
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Mecanique & Industries
Mecanique & Industries 工程技术-工程:机械
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