期刊
OPTIMIZATION LETTERS
卷 13, 期 7, 页码 1505-1514出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11590-019-01409-w
关键词
Global optimization; Mixed-integer programming; Exact solution method; Data-driven computing; Model-free computational mechanics
资金
- JSPS KAKENHI [17K06633, 18K18898]
- Grants-in-Aid for Scientific Research [18K18898] Funding Source: KAKEN
This paper presents a mixed-integer quadratic programming formulation of an existing data-driven approach to computational elasticity. This formulation is suitable for application of a standard mixed-integer programming solver, which finds a global optimal solution. Therefore, the results obtained by the presented method can be used as benchmark instances for any other algorithm. Preliminary numerical experiments are performed to compare quality of solutions obtained by the proposed method and a heuristic conventionally used in the data-driven computational mechanics.
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