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145 Publications


2020 | Conference Paper | LibreCat-ID: 46322
Bossek, Jakob, et al. “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.” 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
Bossek, Jakob, et al. “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.” Proceedings of the IEEE Congress on Evolutionary Computation (CEC), IEEE, 2020, pp. 1–8.
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2020 | Conference Paper | LibreCat-ID: 46323
Bossek, Jakob, et al. “Dynamic Bi-Objective Routing of Multiple Vehicles.” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), ACM, 2020, pp. 166–174.
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2019 | Conference Paper | LibreCat-ID: 46343
Grimme, Christian, et al. “Multimodality in Multi-Objective Optimization — More Boon than Bane?” Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb et al., vol. 11411, Springer, 2019, pp. 126–138, doi:10.1007/978-3-030-12598-1_11.
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2019 | Journal Article | LibreCat-ID: 46345
Kerschke, Pascal, et al. “Automated Algorithm Selection: Survey and Perspectives.” Evolutionary Computation (ECJ), vol. 27, no. 1, 2019, pp. 3–45, doi:10.1162/evco_a_00242.
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2019 | Journal Article | LibreCat-ID: 46344
Carnein, Matthias, and Heike Trautmann. “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms.” Business and Information Systems Engineering (BISE), vol. 61, no. 3, 2019, pp. 277–297.
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2019 | Conference Paper | LibreCat-ID: 46340
Carnein, Matthias, et al. “A Recommender System Based on Omni-Channel Customer Data.” Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), 2019, pp. 65–74.
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2019 | Conference Paper | LibreCat-ID: 46341
Carnein, Matthias, and Heike Trautmann. “Customer Segmentation Based on Transactional Data Using Stream Clustering.” Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19), 2019, pp. 280–292.
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2019 | Conference Paper | LibreCat-ID: 46342
Grimme, Christian, et al. “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.” AIP Conference Proceedings, AIP Publishing, 2019, pp. 020052-1-020052–54, doi:10.1063/1.5090019.
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2019 | Book Chapter | LibreCat-ID: 46336
Kerschke, Pascal, and Heike Trautmann. “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco.” Applications in Statistical Computing, edited by Nadja Bauer et al., Springer, 2019, pp. 93–123, doi:10.1007/978-3-030-25147-5_7.
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2019 | Book | LibreCat-ID: 46335
Trautmann, Heike. 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
Kerschke, Pascal, and Heike Trautmann. “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning.” Evolutionary Computation (ECJ), vol. 27, no. 1, 2019, pp. 99–127, doi:10.1162/evco_a_00236.
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2019 | Journal Article | LibreCat-ID: 46347
Kerschke, Pascal, et al. “Search Dynamics on Multimodal Multi-Objective Problems.” Evolutionary Computation (ECJ), vol. 27, no. 4, 2019, pp. 577–609, doi:10.1162/evco_a_00234.
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2019 | Conference Paper | LibreCat-ID: 46339
Bossek, Jakob, et al. “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators.” Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), edited by Tobias Friedrich et al., 2019, pp. 58–71, doi:10.1145/3299904.3340307.
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2019 | Conference Paper | LibreCat-ID: 46338
Bossek, Jakob, et al. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.” Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb et al., vol. 11411, Springer International Publishing, 2019, pp. 516–528, doi:10.1007/978-3-030-12598-1_41.
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2019 | Conference Paper | LibreCat-ID: 46337
Bossek, Jakob, and Heike Trautmann. “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time.” Learning and Intelligent Optimization, edited by R Battiti et al., vol. 11353, Springer, 2019, pp. 215–219.
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2018 | Conference Paper | LibreCat-ID: 46350
van Engelen, J. E., et al. “Accurate WiFi Based Indoor Positioning with Continuous Location Sampling.” Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), Springer, 2018, pp. 524–540.
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2018 | Journal Article | LibreCat-ID: 46351
Carnein, Matthias, and Heike Trautmann. “EvoStream — Evolutionary Stream Clustering Utilizing Idle Times.” Big Data Research, vol. 14, 2018, pp. 101–111, doi:10.1016/j.bdr.2018.05.005.
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2018 | Journal Article | LibreCat-ID: 46353
Li, L., et al. “Multiobjective Evolutionary Algorithms Based on Target Region Preferences.” Swarm and Evolutionary Computation, vol. 40, 2018, pp. 196–215, doi:10.1016/j.swevo.2018.02.006.
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2018 | Conference Paper | LibreCat-ID: 46348
Bossek, Jakob, et al. “Local Search Effects in Bi-Objective Orienteering.” Proceedings of the Genetic and Evolutionary Computation Conference, ACM, 2018, pp. 585–592, doi:10.1145/3205455.3205548.
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