activity
20152022
most citedAutomated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning

174 citations · 185 across the 13 of their papers we have counts for

collaborators

14 papers

cs.LG2022

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis

Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager +3

Hyperparameter optimization (HPO) is a key component of machine learning models for achieving peak predictive performance. While numerous methods and algorithms for HPO have been p…

cs.LG2022★ 1 cited

A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes

Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke +1

Exploratory Landscape Analysis is a powerful technique for numerically characterizing landscapes of single-objective continuous optimization problems. Landscape insights are crucia…

cs.NE2020

Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent

Vera Steinhoff, Pascal Kerschke, Pelin Aspar +2

Multimodality is one of the biggest difficulties for optimization as local optima are often preventing algorithms from making progress. This does not only challenge local strategie…

cs.LG2020

Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem

Moritz Seiler, Janina Pohl, Jakob Bossek +2

In this work we focus on the well-known Euclidean Traveling Salesperson Problem (TSP) and two highly competitive inexact heuristic TSP solvers, EAX and LKH, in the context of per-i…

cs.NE2020★ 1 cited

Dynamic Bi-Objective Routing of Multiple Vehicles

Jakob Bossek, Christian Grimme, Heike Trautmann

In practice, e.g. in delivery and service scenarios, Vehicle-Routing-Problems (VRPs) often imply repeated decision making on dynamic customer requests. As in classical VRPs, tours…

cs.NE2020

Towards Decision Support in Dynamic Bi-Objective Vehicle Routing

Jakob Bossek, Christian Grimme, Günter Rudolph +1

We consider a dynamic bi-objective vehicle routing problem, where a subset of customers ask for service over time. Therein, the distance traveled by a single vehicle and the number…