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5711 Publications


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 | Conference Paper | LibreCat-ID: 46339
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: T. Friedrich, C. Doerr, D. Arnold (Eds.), Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), Potsdam, Germany, 2019, pp. 58–71.
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2019 | Conference Paper | LibreCat-ID: 46337
Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time
J. Bossek, H. Trautmann, in: R. Battiti, M. Brunato, I. Kotsireas, P. Pardalos (Eds.), Learning and Intelligent Optimization, Springer, Cham, 2019, pp. 215–219.
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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
 

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