3 papers
math.OC2026
Novel insights into Pareto fronts in multiobjective topology optimization and a comparative study of scalarization strategies
Tom De Weer, Ole Sigmund, Gabriele Eichfelder
Topology optimization seeks structures that minimize an objective function subject to constraints. While extensive research has focused on single-objective formulations, design is…
cs.LG2024
Neural Networks for Generating Better Local Optima in Topology Optimization
Leon Herrmann, Ole Sigmund, Viola Muning Li +2
Neural networks have recently been employed as material discretizations within adjoint optimization frameworks for inverse problems and topology optimization. While advantageous re…
cs.MS2024
An 808 Line Phasor-Based Dehomogenisation Matlab Code For Multi-Scale Topology Optimisation
Rebekka Varum Woldseth, Ole Sigmund, Peter Dørffler Ladegaard Jensen
This work presents an 808-line Matlab educational code for combined multi-scale topology optimisation and phasor-based dehomogenisation titled deHomTop808. The multi-scale formulat…