Ke Chen - Ph.D Candidate

You can also find my publications from Google Scholar.

Journal Papers

1. Ke Chen, Fengyu Zhou, Lei Yin, Shuqian Wang, Fang Wan, “A hybrid particle swarm optimizer with sine cosine acceleration coefficients”, Information Sciences, 2018, 422: 218-241.

2. Ke Chen, Fengyu Zhou, Aling Liu, “Chaotic dynamic weight particle swarm optimization for numerical function optimization”, Knowledge-Based Systems, 2018, 139: 23-40.

3. Ke Chen, Fengyu Zhou, Yugang Wang, Lei Yin, “An ameliorated particle swarm optimizer for solving numerical optimization problems”, Applied Soft Computing, 2018, 73: 482-496.

4. Ke Chen, Fengyu Zhou, Xianfeng Yuan, “Hybrid Particle Swarm Optimization with Spiral-Shaped Mechanism for Feature Selection”, Expert Systems with Applications, 2019, 128: 140-156.

5. Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou, “Novel Chaotic Grouping Particle Swarm Optimization with A Dynamic Regrouping Strategy for Solving Numerical Optimization Tasks”, Knowledge-Based Systems, 2020, 194: 105568.

6. Pengfeng Niu, Ke Chen*, Yunpeng Ma, Xia Li, Aling Liu, Guoqiang Li, “Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm”, Knowledge-Based Systems, 2017, 118: 80-92. (Corresponding Author)

7. Chao Liu, Peifeng Niu, Guoqiang Li, Yunpeng Ma, Weiping Zhang, Ke Chen, “Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems”, Journal of Intelligent Manufacturing, 2018, 29(5): 1133-1153.

8. Peifeng Niu, Ke Chen*, Aling Liu, Yunpeng Ma, Zhen Zhao, Guoqiang Li, “Study on the Optimal Initial Pressure of a Steam Turbine Unit Based on Krill Herd Algorithm”, Journal of Chinese Society of Power Engineering, 2017, 37(8): 615-621. (Corresponding Author, In Chinese)

9. Peifeng Niu, Ke Chen, Yunpeng Ma, Qingchong Zhao, Guoqiang Li, “Modelling of Turbine Heat Rate Based on Krill Herd Algorithm and Its Application”, Journal of Chinese Society of Power Engineering, 2016, 36(10):781-787. (In Chinese)

10. Yunpeng Ma, Peifeng Niu, Ke Chen, Shanshan Yan, Guoqiang Li, “Optimize NOx emissions model of boiler based on chaos group teaching-learning-based optimization algorithm”, Acta Metrologica Sinica, 2017, 39(1): 125-129. (In Chinese)

11. Xia Li, Peifeng Niu, Yunpeng Ma, Ke Chen, Qiuya Wang, “NOx emission reduction of a boiler based on ameliorated chicken swarm optimization”, Journal of Chinese Society of Power Engineering, 2017, 37(4): 293-300. (In Chinese)

12. Peifeng Niu, Zhen Zhao, Yunpeng Ma, Ke Chen, Qiuya Wang, Qingchong Zhao, “Model improvement for Boiler NOx emission based on wind driven optimization algorithm”, Journal of Chinese Society of Power Engineering, 2016, 36(9): 732-738. (In Chinese)

13. Peifeng Niu, Qiuya Wang, Yunpeng Ma, Qingchong Zhao, Ke Chen, Zhen Zhao, “Study on NOx Emission from Boiler Based on Quantum Adaptation Bird Swarm Algorithm”, Acta Metrologica Sinica, 2017, 38(6): 770-775. (In Chinese)

Conference Papers

1. Ke Chen, Fengyu Zhou, Bing Xue, “Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy”, Australasian Joint Conference on Artificial Intelligence, Springer, Cham, 2018: 419-431.

2. Ke Chen, Bing Xue, Mengjie Zhang, Fengyu, Zhou, Hybridising Particle Swarm Optimisation with Differential Evolution for Feature Selection in Classification, IEEE Congress Evolutionary Computation (IEEE CEC), Accepted, 2020.

Submitted Papers

1. Ke Chen, Bing Xue, Mengjie Zhang, Fengyu, Zhou, An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification, Submitted to IEEE Transactions on Cybernetics.

2. Ke Chen, Bing Xue, Mengjie Zhang, Fengyu, Zhou, Evolutionary Multitasking for Feature Selection in High-dimensional Classification via Particle Swarm Optimisation, Submitted to IEEE Transactions on Evolutionary Computation.

Patents

1. 2018, Data feature selection method and system based on improved particle swarm optimization, No. 201810844459.8 (In process)