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196 Publications


2020 | Conference Paper | LibreCat-ID: 46324
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection
J. Bossek, P. Kerschke, H. Trautmann, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), IEEE, Glasgow, UK, 2020, pp. 1–8.
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2020 | Conference Paper | LibreCat-ID: 46323
Dynamic Bi-Objective Routing of Multiple Vehicles
J. Bossek, C. Grimme, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), ACM, Cancun, Mexico, 2020, pp. 166–174.
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2019 | Conference Paper | LibreCat-ID: 46343
Multimodality in Multi-Objective Optimization — More Boon than Bane?
C. Grimme, P. Kerschke, H. Trautmann, in: K. Deb, E. Goodman, C.C.A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), Springer, East Lansing, MI, USA, 2019, pp. 126–138.
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2019 | Journal Article | LibreCat-ID: 46345
Automated Algorithm Selection: Survey and Perspectives
P. Kerschke, H.H. Hoos, F. Neumann, H. Trautmann, Evolutionary Computation (ECJ) 27 (2019) 3–45.
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2019 | Journal Article | LibreCat-ID: 46344
Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms
M. Carnein, H. Trautmann, Business and Information Systems Engineering (BISE) 61 (2019) 277–297.
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2019 | Conference Paper | LibreCat-ID: 46340
A Recommender System Based on Omni-Channel Customer Data
M. Carnein, L. Homann, H. Trautmann, G. Vossen, in: Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), Moscow, Russia, 2019, pp. 65–74.
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2019 | Conference Paper | LibreCat-ID: 46341
Customer Segmentation Based on Transactional Data Using Stream Clustering
M. Carnein, H. Trautmann, in: Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19), Macau, China, 2019, pp. 280–292.
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2019 | Conference Paper | LibreCat-ID: 46342
Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization
C. Grimme, P. Kerschke, M.T.M. Emmerich, M. Preuss, A.H. Deutz, H. Trautmann, in: AIP Conference Proceedings, AIP Publishing, Leiden, The Netherlands, 2019, pp. 020052-1-020052–4.
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2019 | Book Chapter | LibreCat-ID: 46336
Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco
P. Kerschke, H. Trautmann, in: N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, M. Vichi (Eds.), Applications in Statistical Computing, Springer, 2019, pp. 93–123.
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2019 | Book | LibreCat-ID: 46335
Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement
H. Trautmann, Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement, Springer International Publishing, 2019.
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2019 | Journal Article | LibreCat-ID: 46346 LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 46347
Search Dynamics on Multimodal Multi-Objective Problems
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann, M. Emmerich, Evolutionary Computation (ECJ) 27 (2019) 577–609.
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2019 | Conference Paper | LibreCat-ID: 48841
Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: K. Deb, E. Goodman, C.A. Coello Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO), Springer International Publishing, Cham, 2019, pp. 516–528.
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2019 | Conference Paper | LibreCat-ID: 48842
Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, H. Trautmann, in: Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2019, pp. 58–71.
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2019 | Conference Paper | LibreCat-ID: 48843
Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring
J. Bossek, F. Neumann, P. Peng, D. Sudholt, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2019, pp. 1443–1451.
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2019 | Conference Paper | LibreCat-ID: 48840
On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem
J. Bossek, C. Grimme, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2019, pp. 516–523.
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2019 | Conference Paper | LibreCat-ID: 48858
Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems
J. Bossek, C. Grimme, in: R. Battiti, M. Brunato, I. Kotsireas, P.M. Pardalos (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2019, pp. 184–198.
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2019 | Conference Paper | LibreCat-ID: 48870
Time Complexity Analysis of RLS and (1 + 1) EA for the Edge Coloring Problem
J. Bossek, D. Sudholt, in: Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2019, pp. 102–115.
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2019 | Conference Paper | LibreCat-ID: 48875
Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time
J. Bossek, H. Trautmann, in: R. Battiti, M. Brunato, I. Kotsireas, P.M. Pardalos (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2019, pp. 215–219.
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2019 | Journal Article | LibreCat-ID: 48877
OpenML: An R Package to Connect to the Machine Learning Platform OpenML
G. Casalicchio, J. Bossek, M. Lang, D. Kirchhoff, P. Kerschke, B. Hofner, H. Seibold, J. Vanschoren, B. Bischl, Computational Statistics 34 (2019) 977–991.
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