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I received my M.S. degree in the School of Information Engineering from China University of Geosciences and Ph.D in the School of Computer from China University of Geosciences, Wuhan in 2015 and 2018, respectively. I am currently lecturer in the School of Information Engineering, Hebei GEO University.

News

A paper entitled:"Multi-objective Harris Hawks Optimization with Associative Learning and Chaotic Local Search for Feature Selection" was accepted at IEEE access.

Research Interest

My research interests include artificial intelligence, evolutionary computation, multi/many-objective optimization, machine learning and its application.

• evolutionary computation

  • multi/many-objective optimization

  • multi-objective feature selection

  • image segmentation

  • closed loop detection

• deep learning

  • water gauge recognition

Selected Publications

7. Zhang, Y., Zhang, Y., Zhang, C., & Zhou, C., Multi-objective Harris Hawks Optimization with Associative Learning and Chaotic Local Search for Feature Selection. IEEE Access, 2022

8. Zhou, C., Dai, G., Zhang, C., Li, X., & Ma, K. Entropy based evolutionary algorithm with adaptive reference points for many-objective optimization problems. Information Sciences, 2018, 465, 232-247.

9. Dai, G., Zhou, C.*, Wang, M., & Li, X. Indicator and reference points coguided evolutionary algorithm for many-objective optimization problems. Knowledge-Based Systems, 2018, 140, 50-63.

10. Zhou C., Li S, Zhang Y, Chen Z, Zhang C. Enhancing Backtracking Search Algorithm using Reflection Mutation Strategy Based on Sine Cosine. Algorithms. 2019; 12(11):225.

11. Chong Zhou, Guangming Dai, Enhanced θ dominance and density selection based evolutionary algorithm for many-objective optimization problems, Applied Intelligence, press online, 2017, DOI: 10.1007/s10489-017-0998-9（IF 1.90，CCF C）

12. Zhou, C., Chen, L., Chen, Z., Li, X., & Dai, G. A sine cosine mutation based differential evolution algorithm for solving node location problem. International Journal of Wireless and Mobile Computing, 2017, 13(3), 253-259.

13. Liang Chen, Chong Zhou, Guangming Dai, An improved differential evolution algorithm based on suboptimal solution mutation, International Journal of Computing Science and Mathematics, Vol. 8, No 1, 2017. DOI:10.1504/IJCSM.2017.083141

14. Liang Chen, Chong Zhou, Entropy determined hybrid two-stage multi-objective evolutionary algorithm combining locally linear embedding, IEEE Congress on Evolutionary Computation, CEC 2016, DOI: 10.1109/CEC.2016.7744109

Grants&Awards

• Natural Science Youth Foundation of Hebei Province

• PhD Research Startup Foundation of Hebei GEO University

• Open Research Project of the Hubei Key Laboratory of Intelligent Geo-Information Processing

• Fundamental Research Funds for the Universities in Hebei Province

Teaching

• Javaweb development

• Javeweb framework

Contact

• email:[email protected]