3 citations · 6 across the 6 of their papers we have counts for
7 papers · 1 filter
Consensus-Based Optimization for Multi-Objective Problems: A Multi-Swarm Approach
Kathrin Klamroth, Michael Stiglmayr, Claudia Totzeck
We propose a multi-swarm approach to approximate the Pareto front of general multi-objective optimization problems that is based on the Consensus-based Optimization method (CBO). T…
Ordinal Optimization Through Multi-objective Reformulation
Kathrin Klamroth, Michael Stiglmayr, Julia Sudhoff
We analyze combinatorial optimization problems with ordinal, i.e., non-additive, objective functions that assign categories (like good, medium and bad) rather than cost coefficient…
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…