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Parallel Problem Solving from Nature - PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II

1, 2022

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Parallel Problem Solving from Nature - PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I

1, 2022

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Leveraging TSP Solver Complementarity through Machine Learning

Evolutionary computation, 2018-12, Vol.26 (4), p.597-620

2018

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Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning

Evolutionary computation, 2019-03, Vol.27 (1), p.99-127

2019

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Process-Oriented Stream Classification Pipeline: A Literature Review

Applied sciences, 2022-09, Vol.12 (18), p.9094

2022

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Estimation of component reliability from superposed renewal processes by means of latent variables

Computational statistics, 2022-03, Vol.37 (1), p.355-379

2022

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Correction to: Estimation of component reliability from superposed renewal processes by means of latent variables

Computational statistics, 2022-03, Vol.37 (1), p.381-381

2022

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Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection

Learning and Intelligent Optimization, 2015, Vol.8994, p.202-217

2015

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Automated Algorithm Selection: Survey and Perspectives

Evolutionary computation, 2019-03, Vol.27 (1), p.3-45

2019

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A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms

Applied soft computing, 2020-03, Vol.88, p.105901, Article 105901

2020

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Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems

IEEE transactions on evolutionary computation, 2022-12, Vol.26 (6), p.1-1

2022

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IEEE_Xplore

Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games

Applied soft computing, 2023-03, Vol.136, p.110121, Article 110121

2023

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ASlib: A benchmark library for algorithm selection

Artificial intelligence, 2016-08, Vol.237, p.41-58

2016

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A study on the effects of normalized TSP features for automated algorithm selection

Theoretical computer science, 2023-01, Vol.940, p.123-145

2023

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Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization

Computers & operations research, 2021-12, Vol.136, p.105489, Article 105489

2021

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Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods

Parallel Problem Solving from Nature – PPSN XVII, p.3-17

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The objective that freed me: a multi-objective local search approach for continuous single-objective optimization

Natural computing, 2023-06, Vol.22 (2), p.271-285

2023

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OpenML: An R package to connect to the machine learning platform OpenML

Computational statistics, 2019-09, Vol.34 (3), p.977-991

2019

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Modelling interventions in INGARCH processes

International journal of computer mathematics, 2016-04, Vol.93 (4), p.640-657

2016

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To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes

Evolutionary Multi-Criterion Optimization, p.632-644

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One PLOT to Show Them All: Visualization of Efficient Sets in Multi-objective Landscapes

Parallel Problem Solving from Nature – PPSN XVI, p.154-167

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Multimodality in Multi-objective Optimization – More Boon than Bane?

Evolutionary Multi-Criterion Optimization, p.126-138

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Automated and feature-based problem characterization and algorithm selection through machine learning

Kerschke, Pascal

2018

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Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco

Applications in Statistical Computing, p.93-123

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Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets

Evolutionary Multi-Criterion Optimization, p.291-304

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Parallel Problem Solving from Nature - PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II

Parallel Problem Solving from Nature - PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I

Leveraging TSP Solver Complementarity through Machine Learning

Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning

Process-Oriented Stream Classification Pipeline: A Literature Review

Estimation of component reliability from superposed renewal processes by means of latent variables

Correction to: Estimation of component reliability from superposed renewal processes by means of latent variables

Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection

Automated Algorithm Selection: Survey and Perspectives

A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms

Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems

Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games

ASlib: A benchmark library for algorithm selection

A study on the effects of normalized TSP features for automated algorithm selection

Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization

Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods

The objective that freed me: a multi-objective local search approach for continuous single-objective optimization

OpenML: An R package to connect to the machine learning platform OpenML

Modelling interventions in INGARCH processes

To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes

One PLOT to Show Them All: Visualization of Efficient Sets in Multi-objective Landscapes

Multimodality in Multi-objective Optimization – More Boon than Bane?

Automated and feature-based problem characterization and algorithm selection through machine learning

Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco

Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets

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