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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

Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization

Rodriguez-Fernandez, A. E., Schäpermeier, L., Hernández, C., Kerschke, P., Trautmann, H. & Schütze, O., Oct 2025, In: IEEE transactions on evolutionary computation : a publication of the IEEE Neural Networks Council. 29, 5, p. 2019-2031 13 p.

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

Hot off the Press: Finding e-locally Optimal Solutions for Multi-objective Multimodal Optimization

Rodriguez-Fernandez, A. E., Schütze, O., Schäpermeier, L., Kerschke, P., Castellanos, C. H. & Trautmann, H., 11 Aug 2025, GECCO 2025 Companion - Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion. Ochoa, G. (ed.). Association for Computing Machinery, Inc, p. 61-62 2 p.

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

Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems.

Schäpermeier, L., Jul 2025, GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference. Ochoa, G. (ed.). p. 1199 - 1207 9 p.

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

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

View all research output (14)

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

Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization

Hot off the Press: Finding e-locally Optimal Solutions for Multi-objective Multimodal Optimization

Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems.

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

Interpretable Spatiotemporal Feature Selection for Solar Power Forecasts

Best Paper Award auf der PPSN XVIII