380.256 PEOPLE
People | Locations | Statistics |
---|---|---|
Seuring, Stefan |
| |
Nor Azizi, S. |
| |
Pato, Margarida Vaz |
| |
Kölker, Katrin |
| |
Huber, Oliver |
| |
Király, Tamás |
| |
Spengler, Thomas Stefan |
| |
Al-Ammar, Essam A. |
| |
Dargahi, Fatemeh |
| |
Mota, Rui |
| |
Mazalan, Nurul Aliah Amirah |
| |
Macharis, Cathy | Brussels |
|
Arunasari, Yova Tri |
| |
Nunez, Alfredo | Delft |
|
Bouhorma, Mohammed |
| |
Bonato, Matteo |
| |
Fitriani, Ira |
| |
Autor Correspondente Coelho, Sílvia. |
| |
Pond, Stephen |
| |
Okwara, Ukoha Kalu |
| |
Toufigh, Vahid |
| |
Campisi, Tiziana | Enna |
|
Ermolieva, Tatiana |
| |
Sánchez-Cambronero, Santos |
| |
Agzamov, Akhror |
|
Kerschke, Pascal
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (65/65 displayed)
- 2024Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization
- 2023A study on the effects of normalized TSP features for automated algorithm selectioncitations
- 2023Exploratory Landscape Analysiscitations
- 2023Evaluation of Algorithms from the Nevergrad Toolbox on the Strictly Box-Constrained SBOX-COST Benchmarking Suite
- 2023Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features
- 2023Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Gamescitations
- 2023Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets
- 2022A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapescitations
- 2022The objective that freed me: a multi-objective local search approach for continuous single-objective optimization
- 2022Parallel Problem Solving from Nature – PPSN XVIIcitations
- 2022Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methodscitations
- 2022HPO $$times $$ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysiscitations
- 2022Correction to: Estimation of component reliability from superposed renewal processes by means of latent variables (Computational Statistics, (2022), 37, 1, (355-379), 10.1007/s00180-021-01124-0)
- 2022BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problemscitations
- 2022Process-Oriented Stream Classification Pipeline: A Literature Reviewcitations
- 2022Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problemscitations
- 2022MOLE: Digging Tunnels Through Multimodal Multi-objective Landscapescitations
- 2022Estimation of component reliability from superposed renewal processes by means of latent variables
- 2022Mixture of Decision Trees for Interpretable Machine Learning
- 2021On the potential of normalized TSP features for automated algorithm selectioncitations
- 2021Multi$$^3$$: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivizationcitations
- 2021To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapescitations
- 2021Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimizationcitations
- 2021Lifting the Multimodality-Fog in Continuous Multi-objective Optimizationcitations
- 2021Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimizationcitations
- 2020Benchmarking in Optimization: Best Practice and Open Issues
- 2020Benchmarking in Optimization: Best Practice and Open Issuescitations
- 2020The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristicscitations
- 2020Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries
- 2020Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selectioncitations
- 2020A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithmscitations
- 2020Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descentcitations
- 2020One PLOT to Show Them All: Visualization of Efficient Sets in Multi-objective Landscapescitations
- 2020Initial design strategies and their effects on sequential model-based optimizationcitations
- 2020Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysiscitations
- 2020Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problemcitations
- 2020Evolving Sampling Strategies for One-Shot Optimization Taskscitations
- 2019Exploring the MLDA benchmark on the nevergrad platformcitations
- 2019Exploratory Landscape Analysiscitations
- 2019Sliding to the global optimum: How to benefit from non-global optima in multimodal multi-objective optimizationcitations
- 2019Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flaccocitations
- 2019Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learningcitations
- 2019Search Dynamics on Multimodal Multiobjective Problemscitations
- 2019Evolving diverse TSP instances by means of novel and creative mutation operatorscitations
- 2019Automated Algorithm Selection: Survey and Perspectivescitations
- 2019Multimodality in Multi-objective Optimization – More Boon than Bane?citations
- 2019Making a case for (Hyper-)parameter tuning as benchmark problemscitations
- 2019Single- and multi-objective game-benchmark for evolutionary algorithmscitations
- 2019OpenML: An R package to connect to the machine learning platform OpenMLcitations
- 2018Parameterization of state-of-the-art performance indicatorscitations
- 2018Leveraging TSP Solver Complementarity through Machine Learningcitations
- 2017flaccoguicitations
- 2017An Expedition to Multimodal Multi-objective Optimization Landscapescitations
- 2017Exploratory landscape analysiscitations
- 2016Low-Budget Exploratory Landscape Analysis on Multiple Peaks Modelscitations
- 2016Modelling interventions in INGARCH processescitations
- 2016ASlib: A benchmark library for algorithm selectioncitations
- 2016The R-package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problemscitations
- 2016Towards Analyzing Multimodality of Continuous Multiobjective Landscapescitations
- 2015Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithmscitations
- 2015Improving the state of the art in inexact TSP solving using per-instance algorithm selectioncitations
- 2015An overview of topic discovery in Twitter communication through social media analytics
- 2015Averaged Hausdorff approximations of pareto fronts based on multiobjective estimation of distribution algorithms arXiv
- 2015Detecting Funnel Structures by Means of Exploratory Landscape Analysiscitations
- 2014Cell Mapping Techniques for Exploratory Landscape Analysiscitations
Places of action
Organizations | Location | People |
---|