Explanipedia

Hot off the Press: Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces Open

Benjamin Doerr, Martin S. Krejca, Günter Rudolph · 2025

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Abnormal Mutations: Evolution Strategies Don't Require Gaussianity Open

Jacob de Nobel, Diederick Vermetten, Hao Wang, Anna V. Kononova, Günter Rudolph , et al. · 2025

Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces Open

Benjamin Doerr, Martin S. Krejca, Günter Rudolph · 2025

Randomized search heuristics have been applied successfully to a plethora of problems. This success is complemented by a large body of theoretical results. Unfortunately, the vast majority of these results regard problems with binary or co…

Abnormal Mutations: Evolution Strategies Don't Require Gaussianity Open

Jacob de Nobel, Diederick Vermetten, H. Wang, Anna V. Kononova, Günter Rudolph , et al. · 2025

The mutation process in evolution strategies has been interlinked with the normal distribution since its inception. Many lines of reasoning have been given for this strong dependency, ranging from maximum entropy arguments to the need for …

Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces Open

Benjamin Doerr, Martin S. Krejca, Günter Rudolph · 2024

Randomized search heuristics have been applied successfully to a plethora of problems. This success is complemented by a large body of theoretical results. Unfortunately, the vast majority of these results regard problems with binary or co…

Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization Open

Frank Neumann, Günter Rudolph · 2024

Constrained submodular optimization problems play a key role in the area of combinatorial optimization as they capture many NP-hard optimization problems. So far, Pareto optimization approaches using multi-objective formulations have been …

Emergency Corridor Building on Multi-Lane Motorways with Autonomous Model Cars Open

Jurij Kuzmic, Günter Rudolph, Fabian Ostermann · 2024

Evolutionary composition of music with learned melody evaluation Open

Roman Klinger, Günter Rudolph · 2022

We describe our approach for the automatic composition of monophone melodies on a user given chord sequence. For this purpose we use evolutionary algorithms for the music generation with automatically learned classifiers next to interactiv…

Automatic composition of music with methods of computational intelligence Open

Roman Klinger, Günter Rudolph · 2022

We describe our approach for the automatic composition of monophone melodies on a user given chord sequence. For this purpose we use Markov-chains and other methods to build some initial individuals. These are then optimised with evolution…

Characterization of a novel non‐canonical splice site variant (c.886‐5T>A) in <i>NBAS</i> and description of the associated phenotype Open

Claudia Priglinger, Günter Rudolph, Irene Schmid, Pascale Mazzola, Tobias B. Haack , et al. · 2022

Background Biallelic pathogenic variants in the neuroblastoma‐amplified sequence ( NBAS ) gene manifest in a broad spectrum of disorders, including, but not limited to recurrent acute liver failure, skeletal dysmorphism, susceptibility to …

Artificial Music Producer: Filtering Music Compositions by Artificial Taste Open

Fabian Ostermann, Igor Vatolkin, Günter Rudolph · 2022

<p>Human composers arrive at creative decisions on the basis of their individual musical taste. For automatic algorithmic composition, we propose to embrace that concept and encode taste as binary classification task. We identify and…

Vitamin B12 in Leber hereditary optic neuropathy mutation carriers: a prospective cohort study Open

Julia Zibold, Bettina von Livonius, Hana Kolářová, Günter Rudolph, Claudia S. Priglinger , et al. · 2022

Benchmark-Driven Algorithm Configuration Applied to Parallel Model-Based Optimization Open

Frederik Rehbach, Martin Zaefferer, Andreas Fischbach, Günter Rudolph, Thomas Bartz‐Beielstein · 2022

This paper introduces a benchmarking framework that allows rigorous evaluation of parallel model-based optimizers for expensive functions.The framework establishes a relationship between estimated costs of parallel function evaluations (on…

Benchmark-Driven Algorithm Configuration Applied to Parallel Model-Based Optimization Open

Frederik Rehbach, Martin Zaefferer, Andreas Fischbach, Günter Rudolph, Thomas Bartz‐Beielstein · 2022

This paper introduces a benchmarking framework that allows rigorous evaluation of parallel model-based optimizers for expensive functions.The framework establishes a relationship between estimated costs of parallel function evaluations (on…

Real-time Distance Measurement in a 2D Image on Hardware with Limited Resources for Low-power IoT Devices (Radar Control System) Open

Jurij Kuzmic, Günter Rudolph · 2022

Evaluating Creativity in Automatic Reactive Accompaniment of Jazz Improvisation Open

Fabian Ostermann, Igor Vatolkin, Günter Rudolph · 2021

Music generating computer programs can support jazz musicians and students during performance and practice, for instance by providing accompaniment for solo improvisation. However, such software typically plays sequences of static precompo…

Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade Open

Igor Vatolkin, Philipp Ginsel, Günter Rudolph · 2021

AMUSE (Advanced MUSic Explorer) was created 2006 as an open-source Java framework for various music information retrieval tasks like feature extraction, feature processing, classification, and evaluation. In contrast to toolboxes which foc…

Object Detection with TensorFlow on Hardware with Limited Resources for Low-power IoT Devices Open

Jurij Kuzmic, Günter Rudolph · 2021

A Set Based Newton Method for the Averaged Hausdorff Distance for Multi-Objective Reference Set Problems Open

Lourdes Uribe, Manuel Bogoya, Andrés Vargas, Adriana Lara, Günter Rudolph , et al. · 2020

Multi-objective optimization problems (MOPs) naturally arise in many applications. Since for such problems one can expect an entire set of optimal solutions, a common task in set based multi-objective optimization is to compute N solutions…

Towards Decision Support in Dynamic Bi-Objective Vehicle Routing Open

Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann · 2020

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 of unserved dynamic requests is minimized by a dynamic evo…

Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031) Open

Carlos M. Fonseca, Kathrin Klamroth, Günter Rudolph, Margaret M. Wiecek · 2020

The Dagstuhl Seminar 20031 Scalability in Multiobjective Optimization carried on a series of six previous Dagstuhl Seminars (04461, 06501, 09041, 12041, 15031 and 18031) that were focused on Multiobjective Optimization. The continuing goal…

Unity 3D Simulator of Autonomous Motorway Traffic Applied to Emergency Corridor Building Open

Jurij Kuzmic, Günter Rudolph · 2020

An Empirical Approach For Probing the Definiteness of Kernels Open

Martin Zaefferer, Thomas Bartz‐Beielstein, Günter Rudolph · 2018

Models like support vector machines or Gaussian process regression often require positive semi-definite kernels. These kernels may be based on distance functions. While definiteness is proven for common distances and kernels, a proof for a…

Personalized Multiobjective Optimization: An Analytics Perspective (Dagstuhl Seminar 18031) Open

Kathrin Klamroth, Joshua Knowles, Günter Rudolph, Margaret M. Wiecek · 2018

The Dagstuhl Seminar 18031 Personalization in Multiobjective Optimization: An Analytics Perspective carried on a series of five previous Dagstuhl Seminars (04461, 06501, 09041, 12041 and 15031) that were focused on Multiobjective Optimizat…

Editorial: Special issue on understanding complexity in multiobjective optimization Open

Salvatore Greco, Kathrin Klamroth, Joshua Knowles, Günter Rudolph · 2017

Surrogate-Assisted Partial Order-based Evolutionary Optimisation Open

Vanessa Volz, Günter Rudolph, Boris Naujoks · 2016

In this paper, we propose a novel approach (SAPEO) to support the survival selection process in multi-objective evolutionary algorithms with surrogate models - it dynamically chooses individuals to evaluate exactly based on the model uncer…

Demonstrating the Feasibility of Automatic Game Balancing Open

Vanessa Volz, Günter Rudolph, Boris Naujoks · 2016

Game balancing is an important part of the (computer) game design process, in which designers adapt a game prototype so that the resulting gameplay is as entertaining as possible. In industry, the evaluation of a game is often based on cos…

Evaluation Of Album Effect For Feature Selection In Music Genre Recognition. Open

Igor Vatolkin, Günter Rudolph, Claus Weihs · 2015

[TODO] Add abstract here.

Averaged Hausdorff Approximations of Pareto Fronts based on\n Multiobjective Estimation of Distribution Algorithms Open

Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph · 2015

In the a posteriori approach of multiobjective optimization the Pareto front\nis approximated by a finite set of solutions in the objective space. The\nquality of the approximation can be measured by different indicators that take\ninto ac…

Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms Open

Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph · 2015

In the a posteriori approach of multiobjective optimization the Pareto front is approximated by a finite set of solutions in the objective space. The quality of the approximation can be measured by different indicators that take into accou…

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