Follow
Yuan Sun
Title
Cited by
Cited by
Year
Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges
MA Muñoz, Y Sun, M Kirley, SK Halgamuge
Information Sciences 317, 224-245, 2015
2092015
A recursive decomposition method for large scale continuous optimization
Y Sun, M Kirley, SK Halgamuge
IEEE Transactions on Evolutionary Computation 22 (5), 647-661, 2017
1742017
Extended differential grouping for large scale global optimization with direct and indirect variable interactions
Y Sun, M Kirley, SK Halgamuge
Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015
1402015
Decomposition for large-scale optimization problems with overlapping components
Y Sun, X Li, A Ernst, MN Omidvar
2019 IEEE congress on evolutionary computation (CEC), 326-333, 2019
822019
Improving mmd-gan training with repulsive loss function
W Wang, Y Sun, S Halgamuge
Seventh International Conference on Learning Representations (ICLR) 2019, 2019
732019
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition
Y Sun, MN Omidvar, M Kirley, X Li
Proceedings of the genetic and evolutionary computation conference, 889-896, 2018
602018
Quantifying variable interactions in continuous optimization problems
Y Sun, M Kirley, SK Halgamuge
IEEE Transactions on Evolutionary Computation 21 (2), 249-264, 2016
482016
On the selection of fitness landscape analysis metrics for continuous optimization problems
Y Sun, SK Halgamuge, M Kirley, MA Munoz
7th International Conference on Information and Automation for …, 2014
282014
Generalization of machine learning for problem reduction: a case study on travelling salesman problems
Y Sun, A Ernst, X Li, J Weiner
OR Spectrum 43, 607–633, 2021
242021
Using statistical measures and machine learning for graph reduction to solve maximum weight clique problems
Y Sun, X Li, A Ernst
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (5), 1746 …, 2021
232021
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
J Bi, Y Ma, J Wang, Z Cao, J Chen, Y Sun, YM Chee
Advances in Neural Information Processing Systems, 2022
182022
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection
S Wang, Y Sun, Z Bao
Proceedings of the VLDB Endowment, 2020
162020
Learning primal heuristics for mixed integer programs
Y Shen, Y Sun, A Eberhard, X Li
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
152021
Public transport planning: When transit network connectivity meets commuting demand
S Wang, Y Sun, C Musco, Z Bao
Proceedings of the 2021 International Conference on Management of Data, 1906 …, 2021
142021
Cooperative co-evolution with online optimizer selection for large-scale optimization
Y Sun, M Kirley, X Li
Proceedings of the Genetic and Evolutionary Computation Conference, 1079-1086, 2018
142018
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning
Y Sun, S Wang, Y Shen, X Li, AT Ernst, M Kirley
Computers & Operations Research, 2022
132022
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring
Y Shen, Y Sun, X Li, A Eberhard, A Ernst
The Thirty-Six AAAI Conference on Artificial Intelligence (AAAI-22), 2022
112022
Solving the Maximum Edge Disjoint Path Problem Using a Modified Lagrangian Particle Swarm Optimisation Hybrid
J Weiner, AT Ernst, X Li, Y Sun, K Deb
European Journal of Operational Research 293 (3), 847-862, 2021
112021
An improved merge search algorithm for the constrained pit problem in open-pit mining
A Kenny, X Li, AT Ernst, Y Sun
Proceedings of the Genetic and Evolutionary Computation Conference, 294-302, 2019
72019
On the selection of decomposition methods for large scale fully non-separable problems
Y Sun, M Kirley, SK Halgamuge
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
62015
The system can't perform the operation now. Try again later.
Articles 1–20