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Computing Diverse Sets of Solutions for Monotone Submodular Optimisation Problems


Oct 22, 2020
Aneta Neumann, Jakob Bossek, Frank Neumann


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Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem


Oct 21, 2020
Jakob Bossek, Frank Neumann


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Benchmarking in Optimization: Best Practice and Open Issues


Jul 07, 2020
Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel Lopez-Ibanez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise


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


Jun 29, 2020
Moritz Seiler, Janina Pohl, Jakob Bossek, Pascal Kerschke, Heike Trautmann

* This version has been accepted for publication at the Parallel Problem Solving from Nature (PPSN) 2020 

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Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions


Jun 05, 2020
Jakob Bossek, Aneta Neumann, Frank Neumann


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Dynamic Bi-Objective Routing of Multiple Vehicles


May 28, 2020
Jakob Bossek, Christian Grimme, Heike Trautmann


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Towards Decision Support in Dynamic Bi-Objective Vehicle Routing


May 28, 2020
Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann


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More Effective Randomized Search Heuristics for Graph Coloring Through Dynamic Optimization


May 28, 2020
Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt

* To be presented at GECCO2020 

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Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection


May 27, 2020
Jakob Bossek, Pascal Kerschke, Heike Trautmann

* This version has been accepted for publication at the IEEE Congress on Evolutionary Computation (IEEE CEC) 2020, which is part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) 2020 

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Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem


Apr 22, 2020
Vahid Roostapour, Jakob Bossek, Frank Neumann

* To be presented at GECCO 2020 

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Evolving Diverse Sets of Tours for the Travelling Salesperson Problem


Apr 20, 2020
Anh Viet Do, Jakob Bossek, Aneta Neumann, Frank Neumann

* 11 pages, 3 tables, 3 figures, to be published in GECCO '20 

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Initial Design Strategies and their Effects on Sequential Model-Based Optimization


Mar 30, 2020
Jakob Bossek, Carola Doerr, Pascal Kerschke

* To appear in Proc. of ACM Genetic and Evolutionary Computation Conference (GECCO'20) 

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The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics


Feb 04, 2020
Jakob Bossek, Katrin Casel, Pascal Kerschke, Frank Neumann


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One-Shot Decision-Making with and without Surrogates


Dec 20, 2019
Jakob Bossek, Pascal Kerschke, Aneta Neumann, Frank Neumann, Carola Doerr


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One-Sh ot Decision-Making with and without Surrogates


Dec 19, 2019
Jakob Bossek, Pascal Kerschke, Aneta Neumann, Frank Neumann, Carola Doerr


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OpenML: An R Package to Connect to the Machine Learning Platform OpenML


May 04, 2017
Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl


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mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions


Mar 15, 2017
Bernd Bischl, Jakob Richter, Jakob Bossek, Daniel Horn, Janek Thomas, Michel Lang

* 23 pages, 5 figures 

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