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(1 - 19 of 19)
General Boolean function benchmark suite
Kalkreuth, R.T.; Vasicek, Z.; Husa, J.; Vermetten, D.L.; Ye, F.; Bäck, T.H.W. 2025
General Boolean function benchmark suite
Article in monograph or in proceedings
open access
When to be discrete
Thomaser, A.; Nobel, J.P. de; Vermetten, D.L.; Ye, F.; Bäck, T.H.W.; Kononova, A.V. 2024
When to be discrete: analyzing algorithm performance on discretized continuous problems
Article in monograph or in proceedings
open access
Using affine combinations of BBOB problems for performance assessment
Vermetten, D.L.; Ye, F.; Doerr, C. 2024
Using affine combinations of BBOB problems for performance assessment
Article in monograph or in proceedings
open access
Towards a general boolean function benchmark suite
Kalkreuth, R.T.; Vašíček, Z.; Husa, J.; Vermetten, D.L.; Ye, F.; Bäck, T.H.W. 2024
Towards a general boolean function benchmark suite
Article in monograph or in proceedings
open access
2024-01-02T00:00:00Z
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
Vermetten, D.L.; López-Ibánez, M.; Mersmann, O.; Allmendinger, R.; Kononova, A.V. 2024
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
Article in monograph or in proceedings
open access
Modular differential evolution
Vermetten, D.L.; Caraffini, F.; Kononova, A.V.; Bäck, T.H.W. 2024
Modular differential evolution
Article in monograph or in proceedings
open access
Assessing the generalizability of a performance predictive model
Nikolikj, A.; Cenikj, G.; Ispirova, G.; Vermetten, D.L.; Lang, D.R.; Engelbrecht, P.A.; ... ; Eftimov, T. 2024
Assessing the generalizability of a performance predictive model
Article in monograph or in proceedings
open access
2024-01-25T00:00:00Z
Deep BIAS: detecting structural bias using explainable AI
Stein, N. van; Vermetten, D.L.; Caraffini, F.; Kononova, A.V. 2024
Deep BIAS: detecting structural bias using explainable AI
Article in monograph or in proceedings
open access
2024-01-25T00:00:00Z
Comparing algorithm selection approaches on black-box optimization problems
Kostovska, A.; Jankovic, A.; Vermetten, D.L.; Dzeroski, S.; Eftimov, T.; Doerr, C. 2023
Comparing algorithm selection approaches on black-box optimization problems
Article in monograph or in proceedings
open access
2024-01-25T00:00:00Z
To switch or not to switch
Vermetten, D.L.; Wang, H.; Sim, K.; Hart, E. 2023
To switch or not to switch: predicting the benefit of switching between algorithms based on trajectory features
Article in monograph or in proceedings
open access
2023-10-10T00:00:00Z
BBOB instance analysis
Long, X.F.; Vermetten, D.L.; Stein, N. van; Kononova, A.V. 2023
BBOB instance analysis: landscape properties and algorithm performance across problem instances
Article in monograph or in proceedings
open access
2023-10-10T00:00:00Z
Using knowledge graphs for performance prediction of modular optimization algorithms
Kostovska, A.; Vermetten, D.L.; Dzeroski, S.; Panov, P.; Eftimov, T.; Doerr, C. 2023
Using knowledge graphs for performance prediction of modular optimization algorithms
Article in monograph or in proceedings
open access
2023-10-10T00:00:00Z
Benchmarking algorithms for submodular optimization problems using IOHProfiler
Neumann, F.; Neumann, A; Qian, C.; Viet Do, A.; Nobel, J.P. de; Vermetten, D.L.; ... ; Bäck, T.W.H. 2023
Benchmarking algorithms for submodular optimization problems using IOHProfiler
Article in monograph or in proceedings
open access
2024-03-26T00:00:00Z
Computing star discrepancies with numerical black-box optimization algorithms
Clement, F.; Vermetten, D.L.; Nobel J.P. de; Jesus, A.D.; Paquete, L.; Doerr, C. 2023
Computing star discrepancies with numerical black-box optimization algorithms
Article in monograph or in proceedings
open access
2024-01-12T00:00:00Z
Per-run algorithm selection with warm-starting using trajectory-based features
Kostovska, A.; Jankovic, A.; Vermetten, D.L.; Nobel, J.P. de; Wang, H.; Eftimov, T.; Doerr, C. 2022
Per-run algorithm selection with warm-starting using trajectory-based features
Article in monograph or in proceedings
open access
2023-02-15T00:00:00Z
Using structural bias to analyse the behaviour of modular CMA-ES
Vermetten, D.L.; Caraffini, F.; Stein, B. van; Kononova, A.V. 2022
Using structural bias to analyse the behaviour of modular CMA-ES
Article in monograph or in proceedings
open access
Trajectory-based algorithm selection with warm-starting
Jankovic, A.; Vermetten, D.L.; Kostovska, A.; Nobel, J.P. de; Eftimov, T.; Doerr, C. 2022
Trajectory-based algorithm selection with warm-starting
Article in monograph or in proceedings
open access
2023-03-07T00:00:00Z
Towards dynamic algorithm selection for numerical black-box optimization
Vermetten, D.L.; Wang, H.; Bäck, T.H.W.; Doerr, C. 2020
Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case
Article in monograph or in proceedings
open access
2020-12-02T00:00:00Z
Integrated vs. sequential approaches for selecting and tuning CMA-ES variants
Vermetten, D.L.; Wang, H.; Doerr, C.; Bäck, T.H.W. 2020
Integrated vs. sequential approaches for selecting and tuning CMA-ES variants
Article in monograph or in proceedings
open access
2020-12-31T00:00:00Z