Neural and Evolutionary Computing · Computer Science
COCO: Performance Assessment
Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Dejan Tušar +1
2016-05-12
Artificial Intelligence · Computer Science
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites
Dimo Brockhoff, Tea Tusar, Anne Auger, Nikolaus Hansen
2019-01-07
Artificial Intelligence · Computer Science
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann +2
2020-09-10
Optimization and Control · Mathematics
COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite
Ouassim Elhara, Konstantinos Varelas, Duc Nguyen, Tea Tusar +3
2019-03-29
Neural and Evolutionary Computing · Computer Science
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Performance Space Perspective
Aljoša Vodopija, Tea Tušar, Bogdan Filipič
2023-02-07
Machine Learning · Computer Science
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
2023-06-21
Artificial Intelligence · Computer Science
COCO: The Experimental Procedure
Nikolaus Hansen, Tea Tusar, Olaf Mersmann, Anne Auger +1
2016-05-20
Machine Learning · Computer Science
Offline Stochastic Optimization of Black-Box Objective Functions
Juncheng Dong, Zihao Wu, Hamid Jafarkhani, Ali Pezeshki +1
2024-12-04
Machine Learning · Computer Science
OpenBox: A Generalized Black-box Optimization Service
Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen +8
2021-11-05
Machine Learning · Computer Science
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking
Laurent Meunier, Herilalaina Rakotoarison, Pak Kan Wong, Baptiste Roziere +4
2021-02-24
Machine Learning · Computer Science
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization
Gjorgjina Cenikj, Ana Nikolikj, Gašper Petelin, Niki van Stein +2
2024-06-12
Machine Learning · Computer Science
Black Box Optimization Using QUBO and the Cross Entropy Method
Jonas Nüßlein, Christoph Roch, Thomas Gabor, Jonas Stein +2
2023-02-10
Machine Learning · Computer Science
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang +1
2023-07-26
Neural and Evolutionary Computing · Computer Science
Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling $(1+\lambda)$ EA Variants on OneMax and LeadingOnes
Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang +1
2018-08-20
Machine Learning · Computer Science
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
Yu-Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang +2
2025-05-30