Surrogate-assisted cooperative swarm optimization of high-dimensional expensive problems C Sun, Y Jin, R Cheng, J Ding, J Zeng IEEE Transactions on Evolutionary Computation 21 (4), 644-660, 2017 | 249 | 2017 |
Surrogate-assisted hierarchical particle swarm optimization H Yu, Y Tan, J Zeng, C Sun, Y Jin Information Sciences 454, 59-72, 2018 | 169 | 2018 |
A two-layer surrogate-assisted particle swarm optimization algorithm C Sun, Y Jin, J Zeng, Y Yu Soft computing 19 (6), 1461-1475, 2015 | 142 | 2015 |
Bio-inspired self-organising multi-robot pattern formation: A review H Oh, AR Shirazi, C Sun, Y Jin Robotics and Autonomous Systems 91, 83-100, 2017 | 135 | 2017 |
Offline data-driven evolutionary optimization using selective surrogate ensembles H Wang, Y Jin, C Sun, J Doherty IEEE Transactions on Evolutionary Computation 23 (2), 203-216, 2018 | 119 | 2018 |
A new fitness estimation strategy for particle swarm optimization C Sun, J Zeng, J Pan, S Xue, Y Jin Information sciences 221, 355-370, 2013 | 118 | 2013 |
An improved vector particle swarm optimization for constrained optimization problems C Sun, J Zeng, J Pan Information Sciences 181 (6), 1153-1163, 2011 | 116 | 2011 |
Multiobjective infill criterion driven Gaussian process-assisted particle swarm optimization of high-dimensional expensive problems J Tian, Y Tan, J Zeng, C Sun, Y Jin IEEE Transactions on Evolutionary Computation 23 (3), 459-472, 2018 | 101 | 2018 |
A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization H Yu, Y Tan, C Sun, J Zeng Knowledge-Based Systems 163, 14-25, 2019 | 44 | 2019 |
A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems C Sun, J Ding, J Zeng, Y Jin Memetic Computing 10 (2), 123-134, 2018 | 42 | 2018 |
A modified particle swarm optimization with feasibility-based rules for mixed-variable optimization problems C Sun, J Zeng, JS Pan International Journal of Innovative Computing, Information and Control 7 (6 …, 2011 | 42 | 2011 |
A modified particle swarm optimization based on decomposition with different ideal points for many-objective optimization problems S Qin, C Sun, G Zhang, X He, Y Tan Complex & Intelligent Systems 6 (2), 263-274, 2020 | 40 | 2020 |
A multi-swarm evolutionary framework based on a feedback mechanism R Cheng, C Sun, Y Jin 2013 IEEE Congress on Evolutionary Computation, 718-724, 2013 | 32 | 2013 |
Multiple-strategy learning particle swarm optimization for large-scale optimization problems H Wang, M Liang, C Sun, G Zhang, L Xie Complex & Intelligent Systems 7 (1), 1-16, 2021 | 28 | 2021 |
Multi-surrogate multi-tasking optimization of expensive problems P Liao, C Sun, G Zhang, Y Jin Knowledge-Based Systems 205, 106262, 2020 | 27 | 2020 |
Granularity-based surrogate-assisted particle swarm optimization for high-dimensional expensive optimization J Tian, C Sun, Y Tan, J Zeng Knowledge-Based Systems 187, 104815, 2020 | 25 | 2020 |
An efficient surrogate-assisted quasi-affine transformation evolutionary algorithm for expensive optimization problems N Liu, JS Pan, C Sun, SC Chu Knowledge-Based Systems 209, 106418, 2020 | 24 | 2020 |
The Structure Optimization of Main Beam for Bridge Crane Based on An Improved PSO. C Sun, Y Tan, J Zeng, JS Pan, Y Tao J. Comput. 6 (8), 1585-1590, 2011 | 20 | 2011 |
Large-scale evolutionary multiobjective optimization assisted by directed sampling S Qin, C Sun, Y Jin, Y Tan, J Fieldsend IEEE transactions on evolutionary computation 25 (4), 724-738, 2021 | 17 | 2021 |
Surrogate-assisted evolutionary optimization of large problems T Chugh, C Sun, H Wang, Y Jin High-Performance Simulation-Based Optimization, 165-187, 2020 | 17 | 2020 |