3 citations · 6 across the 6 of their papers we have counts for
6 papers
Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach
Malena Reiners, Kathrin Klamroth, Michael Stiglmayr
Overparameterization and overfitting are common concerns when designing and training deep neural networks, that are often counteracted by pruning and regularization strategies. How…
Tracing locally Pareto optimal points by numerical integration
Matthias Bolten, Onur Tanil Doganay, Hanno Gottschalk +1
We suggest a novel approach for the efficient and reliable approximation of the Pareto front of sufficiently smooth unconstrained bi-criteria optimization problems. Optimality cond…
GivEn -- Shape Optimization for Gas Turbines in Volatile Energy Networks
Jan Backhaus, Matthias Bolten, Onur Tanil Doganay +19
This paper describes the project GivEn that develops a novel multicriteria optimization process for gas turbine blades and vanes using modern "adjoint" shape optimization algorithm…
A simple and efficient dichotomic search algorithm for multi-objective mixed integer linear programs
Anthony Przybylski, Kathrin Klamroth, Renaud Lacour
We present a simple and at the same time fficient algorithm to compute all nondominated extreme points in the outcome set of multi-objective mixed integer linear programmes in any…
Gradient Based Biobjective Shape Optimization to Improve Reliability and Cost of Ceramic Components
Onur T. Doganay, Hanno Gottschalk, Camilla Hahn +3
We consider the simultaneous optimization of the reliability and the cost of a ceramic component in a biobjective PDE constrained shape optimization problem. A probabilistic Weibul…
Introducing Multiobjective Complex Systems
Tobias Dietz, Kathrin Klamroth, Konstantin Kraus +5
This article focuses on the optimization of a complex system which is composed of several subsystems. On the one hand, these subsystems are subject to multiple objectives, local co…