Mixed-integer programming formulation of a data-driven solver in computational elasticity

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 b...

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Veröffentlicht in:	Optimization letters Jg. 13; H. 7; S. 1505 - 1514
1. Verfasser:	Kanno, Yoshihiro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2019
Schlagworte:	Computational Intelligence Mathematics Mathematics and Statistics Numerical and Computational Physics Operations Research/Decision Theory Optimization Original Paper Simulation Model-free computational mechanics Global optimization Data-driven computing Mixed-integer programming Exact solution method
ISSN:	1862-4472, 1862-4480
Online-Zugang:	Volltext
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