Benchmarking optimization solvers for structural topology optimization
By Susana Rojas-Labanda, Mathias Stolpe. 2015
130 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/27253587444a1bd8c903b3af01ed8b1f304411e6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Ole Sigmund
- Fengwen Wang
- Boyan S. Lazarov
- Niels Aage
- Anders Clausen
- Joe Alexandersen
- Jun Wu
- Erik Andreassen
In Computational Theory and Mathematics
- Fengwen Wang
- Boyan S. Lazarov
- Ole Sigmund
- Niels Aage
- Anders Clausen
- Joe Alexandersen
- Erik Andreassen
- Jun Wu
In Mechanics of Materials
- Ole Sigmund
- Fengwen Wang
- Boyan S. Lazarov
- Niels Aage
- Anders Clausen
- Joe Alexandersen
- Jun Wu
- Erik Andreassen
Citations in the corpus
- Length scale and manufacturability in density-based topology optimization (2016, background): “A number of alternatives have been compared in [118], and the conclusion is that general nonlinear optimization solvers, such as IPOPT [143], often outperformMMA and its globally convergent counterpart GCMMA [133].”
- Large scale three-dimensional topology optimisation of heat sinks cooled by natural convection (2015, background): “It is the experience of the authors that the provided continuation scheme yields better results than starting with the end values, although this cannot generally be proven [51, 52].”