Using of Kriging surrogate model in multi-objective optimization of complicated structure
Lei Liu, Aijun Ma, Hongying Liu
Available Online November 2015.
- https://doi.org/10.2991/icsmme-15.2015.49How to use a DOI?
- Kriging Surrogate Model, Multi-Objective Optimization, Complicated Structure, Design Of Experiment, Sample Points, Pareto Set
- To solve the problem of too large calculating amount in the multi-objective optimization of complicated structure, a method based on Kriging surrogate model is proposed and being used in an aerospace assembly to verify its effectiveness. There are two objectives in the structural optimization of the assembly, min mass and max frequency. The method is based on the following steps, first get the sample point by the design of the experiment, and then create the Kriging surrogate model based on the sample points, and at last get the Pareto set by using multi-objective genetic algorithm method working on the established surrogate model to solve the multi-objective problem. The designer can choose the suitable Pareto solution to modify the structure. The method can save the design time and cost at the same time and can provide a reference for similar products.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lei Liu AU - Aijun Ma AU - Hongying Liu PY - 2015/11 DA - 2015/11 TI - Using of Kriging surrogate model in multi-objective optimization of complicated structure BT - 2015 International Conference on Structural, Mechanical and Material Engineering PB - Atlantis Press SP - 203 EP - 206 SN - 2352-5401 UR - https://doi.org/10.2991/icsmme-15.2015.49 DO - https://doi.org/10.2991/icsmme-15.2015.49 ID - Liu2015/11 ER -