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Research Portal of the TU Dresden

Lennart Schäpermeier Master of Science
Person

Affiliations

Chair of Big Data Analytics in Transportation (TT)
- Academic Staff
- lennart.schaepermeier@tu-dresden.de

Identification Numbers

ORCID	0000-0003-3929-7465
Scopus author ID	57219052015

Dancing to the State of the Art? How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem

Heins, J., Schäpermeier, L., Kerschke, P. & Whitley, D., 7 Sept 2024, Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part I. Affenzeller, M., Winkler, S. M., Kononova, A. V., Bäck, T., Trautmann, H., Tušar, T. & Machado, P. (eds.). p. 100-115 16 p. (Lecture Notes in Computer Science, Vol. 15148).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration

Schäpermeier, L. & Kerschke, P., 7 Sept 2024, Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part IV. Affenzeller, M., Winkler, S. M., Kononova, A. V., Bäck, T., Trautmann, H., Tušar, T. & Machado, P. (eds.). p. 202-216 15 p. (Lecture Notes in Computer Science, Vol. 15151).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features

Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H., & 1 othersMersmann, O., 30 Aug 2023, FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. p. 129-139 11 p.

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets

Schäpermeier, L., Kerschke, P., Grimme, C. & Trautmann, H., 2023, Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Proceedings. Emmerich, M., Deutz, A., Wang, H., Kononova, A. V., Naujoks, B., Li, K., Miettinen, K. & Yevseyeva, I. (eds.). 14 p.

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems

Schäpermeier, L., Grimme, C. & Kerschke, P., Dec 2022, In: Congress on Evolutionary Computation (CEC). 26, 6, p. 1306-1320 15 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

View all research output (11)

Interpretable Spatiotemporal Feature Selection for Solar Power Forecasts

Leyser, M. (Speaker), Kerschke, P. (Involved person), Schäpermeier, L. (Involved person)

22 May 2024

Activity: Talk or presentation at external institutions/events › Talk/Presentation › Contributed

Research Portal of the TU Dresden

Lennart Schäpermeier Master of Science
Person

Affiliations

Identification Numbers

Related content

Dancing to the State of the Art? How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem

Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features

Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets

Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems

Interpretable Spatiotemporal Feature Selection for Solar Power Forecasts

Best Paper Award auf der PPSN XVIII