Genetic Programming Bibliography entries for Kangshun Li

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GP coauthors/coeditors: Yan Chen, Zhangxin (John) Chen, Zhangxing Chen, Jinfeng Wang, Yuanxiang Li, Aimin Zhou, Weifeng Pan, Wensheng Zhang, Jiusheng Liang, Feng Wang, Wei Li, Jun He, Yu Xue, Li Li, Zhiyi Lin, Pengfei Wen, Yaolang Kong, Shuling Yang, Weiguang Chen, Xuezhi Yue, Zhijian Wu, Dazhi Jiang,

Genetic Programming Articles by Kangshun Li

  1. Kangshun Li and Yan Chen and Wei Li and Jun He and Yu Xue. Improved gene expression programming to solve the inverse problem for ordinary differential equations. Swarm and Evolutionary Computation, 38:231-239, 2018. details

  2. Lei Yang and Kangshun Li and Wensheng Zhang and Yaolang Kong. Short-term vegetable prices forecast based on improved gene expression programming. International Journal of High Performance Computing and Networking, 11(3):199-213, 2018. details

  3. Yan Chen and Kangshun Li and Zhangxing Chen and Jinfeng Wang. Restricted gene expression programming: a new approach for parameter identification inverse problems of partial differential equation. Soft Computing, 21(10):2651-2663, 2017. details

  4. Feng Wang and Yuanxiang Li and Li Li and Kangshun Li. Automated analog circuit design using two-layer genetic programming. Applied Mathematics and Computation, 185(2):1087-1097, 2007. Special Issue on Intelligent Computing Theory and Methodology. details

Genetic Programming conference papers by Kangshun Li

  1. Shuling Yang and Kangshun Li and Wei Li and Weiguang Chen. An Optimized Clustering Algorithm Using Improved Gene Expression Programming. In Kangshun Li and Jin Li and Yong Liu and Aniello Castiglione editors, ISICA, volume 575, pages 150-160, 2015. Springer. details

  2. Yan Chen and Kangshun Li and Zhangxin Chen. Parameter Identification Inverse Problems of Partial Differential Equations Based on the Improved Gene Expression Programming. In Jiang Xie and Zhangxin Chen and Craig C. Douglas and Wu Zhang and Yan Chen editors, High Performance Computing and Applications: Third International Conference, HPCA 2015, volume 9576, pages 218-227, Shanghai, China, 2015. Springer. Revised Selected Papers. details

  3. Xuezhi Yue and Zhijian Wu and Dazhi Jiang and Kangshun Li. GPS Height Fitting Using Gene Expression Programming. In Zhihua Cai and Chengyu Hu and Zhuo Kang and Yong Liu editors, Proceedings 5th International Symposium on Advances in Computation and Intelligence, ISICA 2010, volume 6382, pages 25-32, Wuhan, China, 2010. Springer. details

  4. Feng Wang and Yuanxiang Li and Kangshun Li and Zhiyi Lin. A New Circuit Representation Method for Analog Circuit Design Automation. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 1976-1980, Hong Kong, 2008. IEEE Press. details

  5. Kangshun Li and Jiusheng Liang and Wensheng Zhang and Feng Wang. A New Method of Evolving Digital Circuit Based on Gene Expression Programming. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 905-908, Hong Kong, 2008. IEEE Press. details

  6. Kangshun Li and Weifeng Pan and Wensheng Zhang and Zhangxin Chen. Automatic Modeling of a Novel Gene Expression Programming Based on Statistical Analysis and Critical Velocity. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 169-173, Hong Kong, 2008. IEEE Press. details

  7. Kangshun Li and Zhangxin Chen and Yuanxiang Li and Aimin Zhou. An Application of Genetic Programming to Economic Forecasting. In Current Trends in High Performance Computing and Its Applications, 2005. Springer. details