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1477 Publications
2019 | Conference Paper | LibreCat-ID: 48841
Bossek, J., Grimme, C., Meisel, S., Rudolph, G., & Trautmann, H. (2019). Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. In K. Deb, E. Goodman, C. A. Coello Coello, K. Klamroth, K. Miettinen, S. Mostaghim, & P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO) (pp. 516–528). Springer International Publishing. https://doi.org/10.1007/978-3-030-12598-1_41
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48842
Bossek, J., Kerschke, P., Neumann, A., Wagner, M., Neumann, F., & Trautmann, H. (2019). Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators. Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 58–71. https://doi.org/10.1145/3299904.3340307
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48843
Bossek, J., Neumann, F., Peng, P., & Sudholt, D. (2019). Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring. Proceedings of the Genetic and Evolutionary Computation Conference, 1443–1451. https://doi.org/10.1145/3321707.3321792
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48840
Bossek, J., Grimme, C., & Neumann, F. (2019). On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem. Proceedings of the Genetic and Evolutionary Computation Conference, 516–523. https://doi.org/10.1145/3321707.3321818
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48858
Bossek, J., & Grimme, C. (2019). Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems. In R. Battiti, M. Brunato, I. Kotsireas, & P. M. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 184–198). Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_17
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48875
Bossek, J., & Trautmann, H. (2019). Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In R. Battiti, M. Brunato, I. Kotsireas, & P. M. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 215–219). Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_19
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 22041
Moritzer, E., Hirsch, A., & Hecker, F. (2019). Process Parameter Optimization to Improve the Mechanical Properties of Arburg Plastic Freeformed Components. 30th Annual International Solid Freeform Fabrication Symposium, 30, 705–714. http://dx.doi.org/10.26153/tsw/17308
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 53274
Soleymani, M., Santamaria, I., Lameiro, C., & Schreier, P. J. (2019). Ergodic Rate for Fading Interference Channels with Proper and Improper Gaussian Signaling. Entropy, 21(10), Article 922. https://doi.org/10.3390/e21100922
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 4684
Beverungen, D., Müller, O., Matzner, M., Mendling, J., & vom Brocke, J. (2019). Conceptualizing smart service systems. Electronic Markets, 29, 7–18. https://doi.org/10.1007/s12525-017-0270-5
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| Files available
| DOI
2019 | Journal Article | LibreCat-ID: 53976
Mousavi, S. M., Tavana, M., Alikar, N., & Zandieh, M. (2019). A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification. Neural Computing and Applications, 31(3), 873–885. https://doi.org/10.1007/s00521-017-3115-4
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| DOI
2019 | Journal Article | LibreCat-ID: 53974
Mousavi, S. M., Alikar, N., Tavana, M., & Di Caprio, D. (2019). An improved particle swarm optimization model for solving homogeneous discounted series-parallel redundancy allocation problems. Journal of Intelligent Manufacturing, 30(3), 1175–1194. https://doi.org/10.1007/s10845-017-1311-9
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 53969
Hajipour, V., Tavana, M., Di Caprio, D., Akhgar, M., & Jabbari, Y. (2019). An optimization model for traceable closed-loop supply chain networks. Applied Mathematical Modelling, 71, 673–699. https://doi.org/10.1016/j.apm.2019.03.007
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46338
Bossek, J., Grimme, C., Meisel, S., Rudolph, G., & Trautmann, H. (2019). Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm. In K. Deb, E. Goodman, C. C. A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, & P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO) (Vol. 11411, pp. 516–528). Springer International Publishing. https://doi.org/10.1007/978-3-030-12598-1_41
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46337
Bossek, J., & Trautmann, H. (2019). Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In R. Battiti, M. Brunato, I. Kotsireas, & P. Pardalos (Eds.), Learning and Intelligent Optimization (Vol. 11353, pp. 215–219). Springer.
LibreCat
2018 | Journal Article | LibreCat-ID: 27981
Weber, K., Simon, M., Strassburger, K., Markgraf, D., Buyken, A., Szendroedi, J., Müssig, K., Roden, M., & Group, G. (2018). Habitual Fructose Intake Relates to Insulin Sensitivity and Fatty Liver Index in Recent-Onset Type 2 Diabetes Patients and Individuals without Diabetes. Nutrients, 10(6). https://doi.org/10.3390/nu10060774
LibreCat
| DOI
| PubMed | Europe PMC
2018 | Conference Paper | LibreCat-ID: 24192
Karthik, K., Wimmer, L., Javed, A. R., Wolf, A., Scheytt, C., & Kraemer, R. (2018). Analysis of PSSS modulation for optimization of DAC bit resolution for 100 Gbps systems. 15th International Symposium on Wireless Communication Systems (ISWCS) . https://doi.org/10.1109/ISWCS.2018.8491216
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| Files available
| DOI
2018 | Journal Article | LibreCat-ID: 25929
Buyken, A., Mela, D., Dussort, P., Johnson, I., Macdonald, I., Stowell, J., & FJPH, B. (2018). Dietary carbohydrates: a review of international recommendations and the methods used to derive them. Eur J Clin Nutr, 72(12), 1625–1643. https://doi.org/10.1038/s41430-017-0035-4
LibreCat
| DOI
| PubMed | Europe PMC
2018 | Conference Paper | LibreCat-ID: 26593
Habeeb Syed, Z., Röder, M., & Ngonga Ngomo, A.-C. (2018). FactCheck: Validating RDF Triples Using Textual Evidence. In A. Cuzzocrea, J. Allan, N. W. Paton, D. Srivastava, R. Agrawal, A. Z. Broder, M. J. Zaki, K. Selçuk Candan, A. Labrinidis, A. Schuster, & H. Wang (Eds.), Proceedings of the 27th {ACM} International Conference on Information and Knowledge Management, {CIKM} 2018, Torino, Italy, October 22-26, 2018 (pp. 1599–1602). {ACM}. https://doi.org/10.1145/3269206.3269308
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 26604
Saleem, M., Potocki, A., Soru, T., Hartig, O., & Ngonga Ngomo, A.-C. (2018). CostFed: Cost-Based Query Optimization for SPARQL Endpoint Federation. In A. Fensel, V. de Boer, T. Pellegrini, E. Kiesling, B. Haslhofer, L. Hollink, & A. Schindler (Eds.), Proceedings of the 14th International Conference on Semantic Systems, {SEMANTICS} 2018, Vienna, Austria, September 10-13, 2018 (Vol. 137, pp. 163–174). Elsevier. https://doi.org/10.1016/j.procs.2018.09.016
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 26606
Zinke, C., & Ngonga Ngomo, A.-C. (2018). Discovering and Linking Spatio-Temporal Big Linked Data. 2018 {IEEE} International Geoscience and Remote Sensing Symposium, {IGARSS} 2018, Valencia, Spain, July 22-27, 2018, 411–414. https://doi.org/10.1109/IGARSS.2018.8519025
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