Neural and Evolutionary Computing · Computer Science
Biobjective Performance Assessment with the COCO Platform
Dimo Brockhoff, Tea Tušar, Dejan Tušar, Tobias Wagner +2
2016-05-09
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
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Brandon Trabucco, Xinyang Geng, Aviral Kumar, Sergey Levine
2022-02-18
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
Machine Learning · Computer Science
BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement
Ke Xue, Ruo-Tong Chen, Rong-Xi Tan, Xi Lin +4
2025-10-28
Neural and Evolutionary Computing · Computer Science
MECHBench: A Set of Black-Box Optimization Benchmarks originated from Structural Mechanics
Iván Olarte Rodríguez, Maria Laura Santoni, Fabian Duddeck, Carola Doerr +2
2025-11-17
Neural and Evolutionary Computing · Computer Science
Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model
Chen Wang, Sijie Ma, Zeyuan Ma, Yue-Jiao Gong
2026-02-03
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
Machine Learning · Computer Science
Offline Multi-Objective Optimization
Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian
2024-06-07
Systems and Control · Electrical Eng. & Systems
Learning Low-Dimensional Embeddings for Black-Box Optimization
Riccardo Busetto, Manas Mejari, Marco Forgione, Alberto Bemporad +1
2025-10-03
Neural and Evolutionary Computing · Computer Science
Benchmarking Continuous Dynamic Multi-Objective Optimization: Survey and Generalized Test Suite
Chang Shao, Qi Zhao, Nana Pu, Shi Cheng +2
2026-01-06
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
Computation and Language · Computer Science
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization
Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian +4
2024-11-26
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 · Statistics
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions
Bernd Bischl, Jakob Richter, Jakob Bossek, Daniel Horn +2
2018-12-04
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
MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization
Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Wenjie Qiu +10
2025-10-22
Machine Learning · Computer Science
OpenBox: A Python Toolkit for Generalized Black-box Optimization
Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu +4
2024-05-17