PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Seiler, Moritz"

Author of the publication

copydeleteadd this publication to your clipboard
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)

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 Seiler, Moritz
add a person with the name Seiler, Moritz
 

Other publications of authors with the same name

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)Enhancing resilience of deep learning networks by means of transferable adversaries, , and . 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, (July 2020)On the potential of normalized TSP features for automated algorithm selection, , , , , and . Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, New York, NY, USA, ACM, (September 2021)Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems, , and . (2024)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)Automated algorithm selection in single-objective continuous optimization: A comparative study of deep learning and landscape analysis methods, , , and . Lecture Notes in Computer Science, Springer International Publishing, Cham, (2022)A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes, , , and . Proceedings of the Genetic and Evolutionary Computation Conference, New York, NY, USA, ACM, (July 2022)