2 papers
math.OC2026
An Adaptive Algorithm for the Approximation of General Linear-Parametric Optimization Problems
Levin Nemesch, Stefan Ruzika, Clemens Thielen +1
Linear-multi-parametric optimization problems are a widely studied class of optimization problems. The objective function in such a problem is affine linear dependent on a paramete…
math.OC2026
An adjacency-based algorithm for computing all extreme-supported non-dominated points of a bi-objective combinatorial optimisation problem
Oliver Bachtler, Felix Fritz, Stefan Ruzika
Generally, multi-objective optimisation problems are solved exactly or approximated by solving a series of scalarisations, for example by dichotomic search. In this paper, we take…