2 papers
math.OC2026
Objective-Function Free Multi-Objective Optimization: Rate of Convergence and Performance of an Adagrad-like algorithm
Marianna De Santis, Gabriele Eichfelder, Margherita Porcelli
We propose an Adagrad-like algorithm for multi-objective unconstrained optimization that relies on the computation of a common descent direction only. Unlike classical local algori…
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 produces optimized structures by minimizing an objective function under a set of constraints. While considerable research has focused on improving and extendi…