REDPC: A residual error-based density peak clustering algorithm M Parmar, D Wang, X Zhang, AH Tan, C Miao, J Jiang, Y Zhou Neurocomputing 348, 82-96, 2019 | 74 | 2019 |
DataABC: A fast ABC based energy-efficient live VM consolidation policy with data-intensive energy evaluation model J Jiang, Y Feng, J Zhao, K Li Future generation computer systems 74, 132-141, 2017 | 57 | 2017 |
A novel density peaks clustering algorithm based on k nearest neighbors for improving assignment process J Jiang, Y Chen, X Meng, L Wang, K Li Physica A: Statistical Mechanics and its Applications 523, 702-713, 2019 | 55 | 2019 |
STSA: A sine Tree-Seed Algorithm for complex continuous optimization problems J Jiang, M Xu, X Meng, K Li Physica A: Statistical Mechanics and its Applications, 122802, 2020 | 43 | 2020 |
GDPC: Gravitation-based density peaks clustering algorithm J Jiang, D Hao, Y Chen, M Parmar, K Li Physica A: Statistical Mechanics and its Applications 502, 345-355, 2018 | 40 | 2018 |
FREDPC: A feasible residual error-based density peak clustering algorithm with the fragment merging strategy MD Parmar, W Pang, D Hao, J Jiang, W Liupu, L Wang, Y Zhou IEEE Access 7, 89789-89804, 2019 | 36 | 2019 |
DPC-LG: Density peaks clustering based on logistic distribution and gravitation J Jiang, Y Chen, D Hao, K Li Physica A: Statistical Mechanics and its Applications 514, 25-35, 2019 | 31 | 2019 |
AGWO: Advanced GWO in multi-layer perception optimization X Meng, J Jiang, H Wang Expert Systems with Applications 173, 114676, 2021 | 30 | 2021 |
SCGSA: A sine chaotic gravitational search algorithm for continuous optimization problems J Jiang, R Jiang, X Meng, K Li Expert Systems with Applications 144, 113118, 2020 | 22 | 2020 |
Enhance chaotic gravitational search algorithm (CGSA) by balance adjustment mechanism and sine randomness function for continuous optimization problems J Jiang, X Yang, X Meng, K Li Physica A: Statistical Mechanics and its Applications 537, 122621, 2020 | 21 | 2020 |
A Graph Adaptive Density Peaks Clustering algorithm for automatic centroid selection and effective aggregation T Xu, J Jiang Expert Systems with Applications 195, 116539, 2022 | 20 | 2022 |
EST-TSA: An effective search tendency based to tree seed algorithm J Jiang, S Jiang, X Meng, C Qiu Physica A: Statistical Mechanics and its Applications 534, 122323, 2019 | 19 | 2019 |
Enhancing tree-seed algorithm via feed-back mechanism for optimizing continuous problems J Jiang, X Meng, Y Chen, C Qiu, Y Liu, K Li Applied Soft Computing 92, 106314, 2020 | 18 | 2020 |
Complex network oriented artificial bee colony algorithm for global bi-objective optimization in three-echelon supply chain J Jiang, D Wu, Y Chen, K Li Applied Soft Computing 76, 193-204, 2019 | 18 | 2019 |
Fast artificial bee colony algorithm with complex network and naive bayes classifier for supply chain network management J Jiang, D Wu, Y Chen, D Yu, L Wang, K Li Soft Computing 23 (24), 13321-13337, 2019 | 17 | 2019 |
DFC: Density fragment clustering without peaks J Jiang, X Tao, K Li Journal of Intelligent & Fuzzy Systems 34 (1), 525-536, 2018 | 17 | 2018 |
DSGWO: An improved grey wolf optimizer with diversity enhanced strategy based on group-stage competition and balance mechanisms J Jiang, Z Zhao, Y Liu, W Li, H Wang Knowledge-Based Systems 250, 109100, 2022 | 16 | 2022 |
A novel density peak clustering algorithm based on squared residual error M Parmar, D Wang, AH Tan, C Miao, J Jiang, Y Zhou 2017 international conference on security, pattern analysis, and cybernetics …, 2017 | 15 | 2017 |
TSASC: tree–seed algorithm with sine–cosine enhancement for continuous optimization problems J Jiang, R Han, X Meng, K Li Soft Computing 24 (24), 18627-18646, 2020 | 13 | 2020 |
HaloDPC: An improved recognition method on halo node for density peak clustering algorithm J Jiang, W Zhou, L Wang, X Tao, K Li International Journal of Pattern Recognition and Artificial Intelligence 33 …, 2019 | 12 | 2019 |