Discrete differential evolutionary algorithm for job-shop scheduling problem with minimizing total weighted tardiness. - Furong Ye; Zhen You; Defu Zhang; Stephen C. H. Leung (CEC, 2016)

A novel forecasting method based on multi-order fuzzy time series and technical analysis. - Furong Ye; Liming Zhang 002; Defu Zhang; Hamido Fujita; Zhiguo Gong (Inf. Sci., 2016)

A hybrid algorithm based on variable neighbourhood for the strip packing problem. - Defu Zhang; Yuxin Che; Furong Ye; Yain-Whar Si; Stephen C. H. Leung (J. Comb. Optim., 2016)

A hybrid algorithm for a vehicle routing problem with realistic constraints. - Defu Zhang; Sifan Cai; Furong Ye; Yain-Whar Si; Trung Thanh Nguyen 002 (Inf. Sci., 2017)

Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones. - Carola Doerr; Furong Ye; Sander van Rijn; Hao Wang 025; Thomas Bäck (GECCO, 2018)

A hybrid swarm algorithm based on ABC and AIS for 2L-HFCVRP. - Defu Zhang; Ruibing Dong; Yain-Whar Si; Furong Ye; Qisen Cai (Appl. Soft Comput., 2018)

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. - Carola Doerr; Hao Wang 025; Furong Ye; Sander van Rijn; Thomas Bäck (CoRR, 2018)

Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation. - Furong Ye; Carola Doerr; Thomas Bäck (CEC, 2019)

Benchmarking a (μ +λ ) Genetic Algorithm with Configurable Crossover Probability. - Furong Ye; Hao Wang 025; Carola Doerr; Thomas Bäck (PPSN (2), 2020)

Benchmarking discrete optimization heuristics with IOHprofiler. - Carola Doerr; Furong Ye; Naama Horesh; Hao Wang 025; Ofer M. Shir; Thomas Bäck (Appl. Soft Comput., 2020)

IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic. - Hao Wang 025; Diederick Vermetten; Furong Ye; Carola Doerr; Thomas Bäck (CoRR, 2020)

The Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm withConfigurable Crossover Probability". - Furong Ye; Hao Wang 025; Carola Doerr; Thomas Bäck (Zenodo, 2020)

Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability". - Furong Ye; Hao Wang 025; Carola Doerr; Thomas Bäck (Zenodo, 2020)

Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability". - Furong Ye; Hao Wang 025; Carola Doerr; Thomas Bäck (Zenodo, 2020)

Leveraging benchmarking data for informed one-shot dynamic algorithm selection. - Furong Ye; Carola Doerr; Thomas Bäck (GECCO Companion, 2021)

Data Sets for the study "Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection". - Furong Ye; Carola Doerr; Thomas Bäck (Zenodo, 2021)

Data sets for the study "Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance.". - Furong Ye; Carola Doerr; Hao Wang 025; Thomas Bäck (Zenodo, 2021)

IOHanalyzer version 0.1.6.1 + example datasets. - Diederick Vermetten; Hao Wang 025; Furong Ye; Carola Doerr; Thomas Bäck (Zenodo, 2021)

Benchmarking and analyzing iterative optimization heuristics with IOH profiler. - Carola Doerr; Hao Wang 025; Diederick Vermetten; Thomas Bäck; Jacob de Nobel; Furong Ye (GECCO Companion, 2022)

IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. - Hao Wang 025; Diederick Vermetten; Furong Ye; Carola Doerr; Thomas Bäck (GECCO Companion, 2022)

Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022. - Furong Ye; Carola Doerr; Hao Wang 025; Thomas Bäck (GECCO Companion, 2022)

Non-elitist Selection Can Improve the Performance of Irace. - Furong Ye; Diederick Vermetten; Carola Doerr; Thomas Bäck (PPSN (1), 2022)

Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace. - Furong Ye; Diederick L. Vermetten; Carola Doerr; Thomas Bäck (CoRR, 2022)

Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance. - Furong Ye; Carola Doerr; Hao Wang 025; Thomas Bäck (IEEE Trans. Evol. Comput., 2022)

IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics. - Hao Wang 025; Diederick Vermetten; Furong Ye; Carola Doerr; Thomas Bäck (ACM Trans. Evol. Learn. Optim., 2022)

Data Sets for the study "Non-Elitist Selection Can Improve the Performance of Irace". - Furong Ye; Diederick Vermetten; Carola Doerr; Thomas Bäck (Zenodo, 2022)

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 (AutoML, 2023)

Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. - Frank Neumann 001; Aneta Neumann; Chao Qian 001; Anh Viet Do; Jacob de Nobel; Diederick Vermetten; Saba Sadeghi Ahouei; Furong Ye; Hao Wang 025; Thomas Bäck (CEC, 2023)

General Boolean Function Benchmark Suite. - Roman Kalkreuth; Zdenek Vasícek; Jakub Husa; Diederick Vermetten; Furong Ye; Thomas Bäck (FOGA, 2023)

Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. - Carola Doerr; Hao Wang 025; Diederick Vermetten; Thomas Bäck; Jacob de Nobel; Furong Ye (GECCO Companion, 2023)

Towards a General Boolean Function Benchmark Suite. - Roman Kalkreuth; Zdenek Vasícek; Jakub Husa; Diederick Vermetten; Furong Ye; Thomas Bäck (GECCO Companion, 2023)

When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. - André Thomaser; Jacob de Nobel; Diederick Vermetten; Furong Ye; Thomas Bäck; Anna V. Kononova (GECCO, 2023)

Using Affine Combinations of BBOB Problems for Performance Assessment. - Diederick Vermetten; Furong Ye; Carola Doerr (GECCO, 2023)

Evolutionary Algorithms for Parameter Optimization - Thirty Years Later. - Thomas H. W. Bäck; Anna V. Kononova; Bas van Stein; Hao Wang 025; Kirill A. Antonov; Roman T. Kalkreuth; Jacob de Nobel; Diederick Vermetten; Roy de Winter; Furong Ye (Evol. Comput., 2023)

Using Affine Combinations of BBOB Problems for Performance Assessment - Code and Data. - Diederick Vermetten; Furong Ye; Carola Doerr (Zenodo, 2023)

MA-BBOB - Reproducibility and Additional Data. - Diederick Vermetten; Furong Ye; Thomas Bäck; Carola Doerr (Zenodo, 2023)

What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. - Furong Ye; Frank Neumann 001; Jacob de Nobel; Aneta Neumann; Thomas Bäck (GECCO, 2024)

Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite. - Haoran Yin; Diederick Vermetten; Furong Ye; Thomas H. W. Bäck; Anna V. Kononova (IJCCI, 2024)

Bi-Objective Contract Allocation for Guaranteed Delivery Advertising. - Yan Li; Yundu Huang; Wuyang Mao; Furong Ye; Xiang He 005; Zhonglin Zu; Shaowei Cai 001 (KDD, 2024)

Enhancing MaxSAT Local Search via a Unified Soft Clause Weighting Scheme. - Yi Chu; Chu-Min Li 001; Furong Ye; Shaowei Cai 001 (SAT, 2024)

Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems. - Haoran Yin; Diederick Vermetten; Furong Ye; Thomas H. W. Bäck; Anna V. Kononova (CoRR, 2024)

AutoSAT: Automatically Optimize SAT Solvers via Large Language Models. - Yiwen Sun; Furong Ye; Xianyin Zhang; Shiyu Huang 001; Bingzhen Zhang; Ke Wei; Shaowei Cai 001 (CoRR, 2024)

Better Understandings and Configurations in MaxSAT Local Search Solvers via Anytime Performance Analysis. - Furong Ye; Chuan Luo 002; Shaowei Cai 001 (CoRR, 2024)

Log-normal Mutations and their Use in Detecting Surreptitious Fake Images. - Ismail Labiad; Thomas Bäck; Pierre Fernandez; Laurent Najman; Tom Sander; Furong Ye; Mariia Zameshina; Olivier Teytaud (CoRR, 2024)

IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. - Jacob de Nobel; Furong Ye; Diederick Vermetten; Hao Wang 025; Carola Doerr; Thomas Bäck (Evol. Comput., 2024)

MA-BBOB - Reproducibility and Additional Data. - Diederick Vermetten; Furong Ye; Thomas Bäck; Carola Doerr (Zenodo, 2024)

MA-BBOB - Reproducibility and Additional Data. - Diederick Vermetten; Furong Ye; Thomas Bäck; Carola Doerr (Zenodo, 2024)

Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis. - Furong Ye; Chuan Luo 002; Shaowei Cai 001 (AAAI, 2025)

MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts. - Diederick Vermetten; Furong Ye; Thomas Bäck; Carola Doerr (ACM Trans. Evol. Learn. Optim., 2025)

Lognormal Mutations and their Use in Detecting Surreptitious Fake Images. - Olivier Teytaud; Mariia Zameshina; Tom Sander; Pierre Fernandez; Furong Ye; Laurent Najman; Thomas Bäck; Ismail Labiad (Trans. Mach. Learn. Res., 2025)

Automatically discovering heuristics in a complex SAT solver with large language models. - Yiwen Sun; Furong Ye; Zhihan Chen; Ke Wei; Shaowei Cai 001 (CoRR, 2025)