Furong Ye

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 46

Top Topics

Iterative Optimization

Benchmark Suite

Packing Problem

Evolutionary Algorithm

Top Venues

GECCO Companion

Publications

Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. GECCO (2024)
Yi Chu, Chu-Min Li, Furong Ye, Shaowei Cai
Enhancing MaxSAT Local Search via a Unified Soft Clause Weighting Scheme. SAT (2024)
Furong Ye, Chuan Luo, Shaowei Cai
Better Understandings and Configurations in MaxSAT Local Search Solvers via Anytime Performance Analysis. CoRR (2024)
Yan Li, Yundu Huang, Wuyang Mao, Furong Ye, Xiang He, Zhonglin Zu, Shaowei Cai
Bi-Objective Contract Allocation for Guaranteed Delivery Advertising. KDD (2024)
Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova
Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems. CoRR (2024)
Thomas H. W. Bäck, Anna V. Kononova, Bas van Stein, Hao Wang, Kirill A. Antonov, Roman T. Kalkreuth, Jacob de Nobel, Diederick Vermetten, Roy de Winter, Furong Ye
Evolutionary Algorithms for Parameter Optimization - Thirty Years Later. Evol. Comput. 31 (2) (2023)
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CEC (2023)
André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. CoRR (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. AutoML (2023)
Diederick Vermetten, Furong Ye, Carola Doerr
Using Affine Combinations of BBOB Problems for Performance Assessment. CoRR (2023)
Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
General Boolean Function Benchmark Suite. FOGA (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts. CoRR (2023)
Diederick Vermetten, Furong Ye, Carola Doerr
Using Affine Combinations of BBOB Problems for Performance Assessment. GECCO (2023)
Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. CoRR (2023)
André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. GECCO (2023)
Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
Towards a General Boolean Function Benchmark Suite. GECCO Companion (2023)
Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. CoRR (2023)
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CoRR (2023)
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics. ACM Trans. Evol. Learn. Optim. 2 (1) (2022)
Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022. GECCO Companion (2022)
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. GECCO Companion (2022)
Furong Ye, Diederick L. Vermetten, Carola Doerr, Thomas Bäck
Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace. CoRR (2022)
Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
Benchmarking and analyzing iterative optimization heuristics with IOH profiler. GECCO Companion (2022)
Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance. IEEE Trans. Evol. Comput. 26 (6) (2022)
Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bäck
Non-elitist Selection Can Improve the Performance of Irace. PPSN (1) (2022)
Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. CoRR (2021)
Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance. CoRR (2021)
Furong Ye, Carola Doerr, Thomas Bäck
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection. CoRR (2021)
Furong Ye, Carola Doerr, Thomas Bäck
Leveraging benchmarking data for informed one-shot dynamic algorithm selection. GECCO Companion (2021)
Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck
Benchmarking a (μ +λ ) Genetic Algorithm with Configurable Crossover Probability. PPSN (2) (2020)
Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck
Benchmarking a $(μ+λ)$ Genetic Algorithm with Configurable Crossover Probability. CoRR (2020)
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic. CoRR (2020)
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
Benchmarking discrete optimization heuristics with IOHprofiler. Appl. Soft Comput. 88 (2020)
Furong Ye, Carola Doerr, Thomas Bäck
Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation. CEC (2019)
Furong Ye, Carola Doerr, Thomas Bäck
Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation. CoRR (2019)
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
Benchmarking Discrete Optimization Heuristics with IOHprofiler. CoRR (2019)
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
Benchmarking discrete optimization heuristics with IOHprofiler. GECCO (Companion) (2019)
Defu Zhang, Ruibing Dong, Yain-Whar Si, Furong Ye, Qisen Cai
A hybrid swarm algorithm based on ABC and AIS for 2L-HFCVRP. Appl. Soft Comput. 64 (2018)
Carola Doerr, Hao Wang, Furong Ye, Sander van Rijn, Thomas Bäck
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. CoRR (2018)
Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck
Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones. GECCO (2018)
Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck
Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling (1+λ) EA Variants on OneMax and LeadingOnes. CoRR (2018)
Defu Zhang, Sifan Cai, Furong Ye, Yain-Whar Si, Trung Thanh Nguyen
A hybrid algorithm for a vehicle routing problem with realistic constraints. Inf. Sci. 394 (2017)
Furong Ye, Zhen You, Defu Zhang, Stephen C. H. Leung
Discrete differential evolutionary algorithm for job-shop scheduling problem with minimizing total weighted tardiness. CEC (2016)
Furong Ye, Liming Zhang, Defu Zhang, Hamido Fujita, Zhiguo Gong
A novel forecasting method based on multi-order fuzzy time series and technical analysis. Inf. Sci. (2016)
Defu Zhang, Yuxin Che, Furong Ye, Yain-Whar Si, Stephen C. H. Leung
A hybrid algorithm based on variable neighbourhood for the strip packing problem. J. Comb. Optim. 32 (2) (2016)