Author of the publication

HPO $$ ELA: Investigating hyperparameter optimization landscapes by means of exploratory landscape analysis

, , , , , and . Lecture Notes in Computer Science, Springer International Publishing, Cham, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Kerschke, Pascal
add a person with the name Kerschke, Pascal
 

Other publications of authors with the same name

Multi$^3$: Optimizing multimodal single-objective continuous problems in the multi-objective space by means of multiobjectivization, , , , and . Lecture Notes in Computer Science, Springer International Publishing, Cham, (2021)Deep learning as a competitive feature-free approach for automated algorithm selection on the traveling salesperson problem, , , , and . Parallel Problem Solving from Nature -- PPSN XVI, Springer International Publishing, Cham, (2020)HPO $$ ELA: Investigating hyperparameter optimization landscapes by means of exploratory landscape analysis, , , , , and . Lecture Notes in Computer Science, Springer International Publishing, Cham, (2022)Dancing to the State of the Art?: How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem, , , and . Parallel Problem Solving from Nature – PPSN XVIII, page 100--115. Springer, Berlin u. a., (Sep 7, 2024)Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024..BBE: Basin-based evaluation of multimodal multi-objective optimization problems, , , , , and . Lecture Notes in Computer Science, Springer International Publishing, Cham, (2022)Anytime behavior of inexact TSP solvers and perspectives for automated algorithm selection, , and . 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE, (July 2020)Multiobjectivization of local search: Single-objective optimization benefits from multi-objective gradient descent, , , , and . 2020 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, (December 2020)Towards feature-free automated algorithm selection for single-objective continuous black-box optimization, , , and . 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, (December 2021)A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms, , and . Appl. Soft Comput., 88 (105901): 105901 (March 2020)MOLE, , and . Proceedings of the Genetic and Evolutionary Computation Conference, New York, NY, USA, ACM, (July 2022)