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145 Publications
2020 | Conference Paper | LibreCat-ID: 46322
J. Bossek, C. Grimme, G. Rudolph, and H. Trautmann, “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing,” in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185778.
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2020 | Conference Paper | LibreCat-ID: 46324
J. Bossek, P. Kerschke, and H. Trautmann, “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection,” in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46323
J. Bossek, C. Grimme, and H. Trautmann, “Dynamic Bi-Objective Routing of Multiple Vehicles,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), 2020, pp. 166–174.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46343
C. Grimme, P. Kerschke, and H. Trautmann, “Multimodality in Multi-Objective Optimization — More Boon than Bane?,” in Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), 2019, vol. 11411, pp. 126–138, doi: 10.1007/978-3-030-12598-1_11.
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2019 | Journal Article | LibreCat-ID: 46345
P. Kerschke, H. H. Hoos, F. Neumann, and H. Trautmann, “Automated Algorithm Selection: Survey and Perspectives,” Evolutionary Computation (ECJ), vol. 27, no. 1, pp. 3–45, 2019, doi: 10.1162/evco_a_00242.
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2019 | Journal Article | LibreCat-ID: 46344
M. Carnein and H. Trautmann, “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms,” Business and Information Systems Engineering (BISE), vol. 61, no. 3, pp. 277–297, 2019.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46340
M. Carnein, L. Homann, H. Trautmann, and G. Vossen, “A Recommender System Based on Omni-Channel Customer Data,” in Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), 2019, pp. 65–74.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46341
M. Carnein and H. Trautmann, “Customer Segmentation Based on Transactional Data Using Stream Clustering,” in Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19), 2019, pp. 280–292.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46342
C. Grimme, P. Kerschke, M. T. M. Emmerich, M. Preuss, A. H. Deutz, and H. Trautmann, “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization,” in AIP Conference Proceedings, 2019, pp. 020052-1-020052–4, doi: 10.1063/1.5090019.
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2019 | Book Chapter | LibreCat-ID: 46336
P. Kerschke and H. Trautmann, “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco,” in Applications in Statistical Computing, N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, and M. Vichi, Eds. Springer, 2019, pp. 93–123.
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2019 | Book | LibreCat-ID: 46335
H. Trautmann, Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement. Springer International Publishing, 2019.
LibreCat
2019 | Journal Article | LibreCat-ID: 46346
P. Kerschke and H. Trautmann, “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning,” Evolutionary Computation (ECJ), vol. 27, no. 1, pp. 99–127, 2019, doi: 10.1162/evco_a_00236.
LibreCat
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2019 | Journal Article | LibreCat-ID: 46347
P. Kerschke et al., “Search Dynamics on Multimodal Multi-Objective Problems,” Evolutionary Computation (ECJ), vol. 27, no. 4, pp. 577–609, 2019, doi: 10.1162/evco_a_00234.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46339
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, and H. Trautmann, “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators,” in Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), 2019, pp. 58–71, doi: 10.1145/3299904.3340307.
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2019 | Conference Paper | LibreCat-ID: 46338
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm,” in Evolutionary Multi-Criterion Optimization (EMO), 2019, vol. 11411, pp. 516–528, doi: 10.1007/978-3-030-12598-1_41.
LibreCat
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2019 | Conference Paper | LibreCat-ID: 46337
J. Bossek and H. Trautmann, “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time,” in Learning and Intelligent Optimization, 2019, vol. 11353, pp. 215–219.
LibreCat
2018 | Conference Paper | LibreCat-ID: 46350
J. E. van Engelen, J. J. van Lier, F. W. Takes, and H. Trautmann, “Accurate WiFi based indoor positioning with continuous location sampling,” in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), 2018, pp. 524–540.
LibreCat
2018 | Journal Article | LibreCat-ID: 46351
M. Carnein and H. Trautmann, “evoStream — Evolutionary Stream Clustering Utilizing Idle Times,” Big Data Research, vol. 14, pp. 101–111, 2018, doi: 10.1016/j.bdr.2018.05.005.
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2018 | Journal Article | LibreCat-ID: 46353
L. Li, Y. Wang, H. Trautmann, N. Jing, and M. Emmerich, “Multiobjective evolutionary algorithms based on target region preferences,” Swarm and Evolutionary Computation, vol. 40, pp. 196–215, 2018, doi: 10.1016/j.swevo.2018.02.006.
LibreCat
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2018 | Conference Paper | LibreCat-ID: 46348
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Local Search Effects in Bi-Objective Orienteering,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2018, pp. 585–592, doi: 10.1145/3205455.3205548.
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