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5786 Publications


2019 | Book | LibreCat-ID: 46335
Trautmann H. 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 P, Trautmann H. Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. Evolutionary Computation (ECJ). 2019;27(1):99–127. doi:10.1162/evco_a_00236
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2019 | Journal Article | LibreCat-ID: 46347
Kerschke P, Wang H, Preuss M, et al. Search Dynamics on Multimodal Multi-Objective Problems. Evolutionary Computation (ECJ). 2019;27(4):577–609. doi:10.1162/evco_a_00234
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2019 | Conference Paper | LibreCat-ID: 48841
Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. In: Deb K, Goodman E, Coello Coello CA, et al., eds. Evolutionary Multi-Criterion Optimization (EMO). Lecture Notes in Computer Science. Springer International Publishing; 2019:516–528. doi:10.1007/978-3-030-12598-1_41
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2019 | Conference Paper | LibreCat-ID: 48842
Bossek J, Kerschke P, Neumann A, Wagner M, Neumann F, Trautmann H. Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators. In: Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA ’19. Association for Computing Machinery; 2019:58–71. doi:10.1145/3299904.3340307
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2019 | Conference Paper | LibreCat-ID: 48843
Bossek J, Neumann F, Peng P, Sudholt D. Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’19. Association for Computing Machinery; 2019:1443–1451. doi:10.1145/3321707.3321792
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2019 | Conference Paper | LibreCat-ID: 48840
Bossek J, Grimme C, Neumann F. On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’19. Association for Computing Machinery; 2019:516–523. doi:10.1145/3321707.3321818
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2019 | Conference Paper | LibreCat-ID: 48858
Bossek J, Grimme C. Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems. In: Battiti R, Brunato M, Kotsireas I, Pardalos PM, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2019:184–198. doi:10.1007/978-3-030-05348-2_17
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2019 | Conference Paper | LibreCat-ID: 48870
Bossek J, Sudholt D. Time Complexity Analysis of RLS and (1 + 1) EA for the Edge Coloring Problem. In: Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA ’19. Association for Computing Machinery; 2019:102–115. doi:10.1145/3299904.3340311
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2019 | Conference Paper | LibreCat-ID: 48875
Bossek J, Trautmann H. Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In: Battiti R, Brunato M, Kotsireas I, Pardalos PM, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2019:215–219. doi:10.1007/978-3-030-05348-2_19
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2019 | Journal Article | LibreCat-ID: 48877
Casalicchio G, Bossek J, Lang M, et al. OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics. 2019;34(3):977–991. doi:10.1007/s00180-017-0742-2
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2019 | Mastersthesis | LibreCat-ID: 52478
Mehta JD. Multithreaded Software/Hardware Programming with ReconOS/FreeRTOS on a Reconfigurable System-on-Chip.; 2019.
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2019 | Conference Paper | LibreCat-ID: 46339
Bossek J, Kerschke P, Neumann A, Wagner M, Neumann F, Trautmann H. Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators. In: Friedrich T, Doerr C, Arnold D, eds. Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV). ; 2019:58–71. doi:10.1145/3299904.3340307
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2019 | Conference Paper | LibreCat-ID: 46338
Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm. In: Deb K, Goodman E, Coello CCA, et al., eds. Evolutionary Multi-Criterion Optimization (EMO). Vol 11411. Lecture Notes in Computer Science. Springer International Publishing; 2019:516–528. doi:10.1007/978-3-030-12598-1_41
LibreCat | DOI
 

2019 | Conference Paper | LibreCat-ID: 46337
Bossek J, Trautmann H. Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In: Battiti R, Brunato M, Kotsireas I, Pardalos P, eds. Learning and Intelligent Optimization. Vol 11353. Lecture Notes in Computer Science. Springer; 2019:215–219.
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2018 | Conference Paper | LibreCat-ID: 2474
Afifi H, Auroux S, Karl H. MARVELO: Wireless Virtual Network Embedding for Overlay Graphs with Loops. In: Proc. of IEEE Wireless Communications and Networking Conference (WCNC); 2018.
LibreCat | Files available
 

2018 | Conference Paper | LibreCat-ID: 2476
Shiferaw Heyi B, Karl H. Modelling Time-Limited Capacity of a Wireless Channel as aMarkov Reward Process. In: Proc. of IEEE Wireless Communications and Networking Conference (WCNC); 2018.
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2018 | Conference Paper | LibreCat-ID: 2479 | OA
Mohr F, Wever MD, Hüllermeier E, Faez A. (WIP) Towards the Automated Composition of Machine Learning Services. In: SCC. San Francisco, CA, USA: IEEE; 2018. doi:10.1109/SCC.2018.00039
LibreCat | Files available | DOI | Download (ext.)
 

2018 | Conference Paper | LibreCat-ID: 2480 | OA
Dräxler S, Peuster M, Illian M, Karl H. Generating Resource and Performance Models for Service Function Chains: The Video Streaming Case. In: 4th IEEE International Conference on Network Softwarization (NetSoft 2018). IEEE; 2018:318--322. doi:10.1109/NETSOFT.2018.8460029
LibreCat | Files available | DOI
 

2018 | Conference Paper | LibreCat-ID: 2481 | OA
Dräxler S, Schneider SB, Karl H. Scaling and Placing Bidirectional Services with Stateful Virtual and Physical Network Functions. In: 4th IEEE International Conference on Network Softwarization (NetSoft 2018). IEEE; 2018:123--131.
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