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1478 Publications
2016 | Journal Article | LibreCat-ID: 46371
Rudolph G, Schütze O, Grimme C, Domínguez-Medina C, Trautmann H. Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Computational Optimization and Applications (Comput Optim Appl). 2016;64(2):589–618. doi:10.1007/s10589-015-9815-8
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2016 | Journal Article | LibreCat-ID: 46372
Schütze O, Sosa HV, Trautmann H, Rudolph G. The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems. Journal of Heuristics. 2016;22(3):273–300. doi:10.1007/s10732-016-9310-0
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| DOI
2016 | Conference Paper | LibreCat-ID: 46368
Kerschke P, Trautmann H. The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC). ; 2016. doi:10.1109/CEC.2016.7748359
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2016 | Conference Paper | LibreCat-ID: 11890 | 
Schmalenstroeer J, Haeb-Umbach R. Investigations into Bluetooth Low Energy Localization Precision Limits. In: 24th European Signal Processing Conference (EUSIPCO 2016). ; 2016.
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2016 | Conference Paper | LibreCat-ID: 48873
Bossek J, Trautmann H. Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers. In: Festa P, Sellmann M, Vanschoren J, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2016:48–59. doi:10.1007/978-3-319-50349-3_4
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2016 | Conference Paper | LibreCat-ID: 48874
Bossek J, Trautmann H. Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference. In: Proceedings of the XV International Conference of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037. AI*IA 2016. Springer-Verlag; 2016:3–12. doi:10.1007/978-3-319-49130-1_1
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2016 | Dissertation | LibreCat-ID: 29027 |
Sherif M. Automating Geospatial RDF Dataset Integration and Enrichment. University of Leipzig; 2016.
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2016 | Journal Article | LibreCat-ID: 54172
Mousavi SM, Sadeghi J, Niaki STA, Tavana M. A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO. Applied Soft Computing. 2016;43:57-72. doi:10.1016/j.asoc.2016.02.014
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2016 | Journal Article | LibreCat-ID: 54166
Khanjani Shiraz R, Tavana M, Di Caprio D, Fukuyama H. Solving Geometric Programming Problems with Normal, Linear and Zigzag Uncertainty Distributions. Journal of Optimization Theory and Applications. 2016;170(1):243-265. doi:10.1007/s10957-015-0857-y
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| DOI
2016 | Journal Article | LibreCat-ID: 54167
Hajipour V, Fattahi P, Tavana M, Di Caprio D. Multi-objective multi-layer congested facility location-allocation problem optimization with Pareto-based meta-heuristics. Applied Mathematical Modelling. 2016;40(7-8):4948-4969. doi:10.1016/j.apm.2015.12.013
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2016 | Journal Article | LibreCat-ID: 54155
Tavana M, Li Z, Mobin M, Komaki M, Teymourian E. Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS. Expert Systems with Applications. 2016;50:17-39. doi:10.1016/j.eswa.2015.11.007
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| DOI
2016 | Conference Paper | LibreCat-ID: 46365
Bossek J, Trautmann H. Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers. In: Festa P, Sellmann M, Vanschoren J, eds. Learning and Intelligent Optimization. Vol 10079. Lecture Notes in Computer Science. Springer International Publishing; 2016:48–59. doi:10.1007/978-3-319-50349-3_4
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| DOI
2016 | Conference Paper | LibreCat-ID: 46366
Bossek J, Trautmann H. Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference. In: Adorni G, Cagnoni S, Gori M, Maratea M, eds. AI*IA 2016 Advances in Artificial Intelligence. Vol 10037. Lecture Notes in Computer Science. Springer; 2016:3–12. doi:10.1007/978-3-319-49130-1_1
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2016 | Journal Article | LibreCat-ID: 54929
Nesterov V, Krueger B, Bertog M, Dahlmann A, Palmisano R, Korbmacher C. In Liddle Syndrome, Epithelial Sodium Channel Is Hyperactive Mainly in the Early Part of the Aldosterone-Sensitive Distal Nephron. Hypertension. 2016;67(6):1256–1262. doi:10.1161/hypertensionaha.115.07061
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2015 | Conference Paper | LibreCat-ID: 25323
Weber J. A Technical Approach of a Simulation-Based Optimization Platform for Setup-Preparation via Virtual Tooling by Testing the Optimization of Zero Point Positions in CNC-Applications. In: Yilmaz L, Chan KV, Moon I, Roeder, T. M. K T. M. K, Macal C, Rossetti M. D, eds. Proceedings of the 2015 Winter Simulation Conference. ; 2015.
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2015 | Conference Paper | LibreCat-ID: 25581
Reisch R-E, Weber J, Laroque C, Schr{\"o}der C. Asynchronous Optimization Techniques for Distributed Computing Applications. In: Tolk A, Padilla JJ, Jafer S, eds. Proceedings of the 2015 Spring Simulation Multi-Conference. Vol 2. SCS (Society for Modeling & Simulation International); 2015.
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2015 | Misc | LibreCat-ID: 25586
Dangelmaier, Wilhelm Wilhelm. Online Optimization to Determine Order Times.; 2015.
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2015 | Conference Paper | LibreCat-ID: 19959
Wahby M, Hamann H. On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking. In: Applications of Evolutionary Computation (EvoApplications 2015). ; 2015. doi:10.1007/978-3-319-16549-3_61
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| DOI
2015 | Journal Article | LibreCat-ID: 28015
Harris C, Flexeder C, Thiering E, et al. Changes in dietary intake during puberty and their determinants: results from the GINIplus birth cohort study. BMC Public Health. 2015;15:841.
LibreCat
2015 | Journal Article | LibreCat-ID: 263
Hallmann C, Suhl L. Optimizing Water Tanks in Water Distribution Systems by combining Network Reduction, Mathematical Optimization and Hydraulic Simulation. OR Spectrum. 2015:1-19. doi:10.1007/s00291-015-0403-1
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