Genetic Programming Bibliography entries for Wei-Li Liu

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GP coauthors/coeditors: Junlan Dong, Jinghui Zhong, Jun Zhang, Yuanzi Hong, Peng Liang, Jianhua Guo, Chunying Li, Zhixing Huang, Zhou Wu, Jiaquan Yang, Shibin Wang, Tingyang Wei, Yue-Jiao Gong, Linhao Li, Liang Feng, Xiao-Min Hu,

Genetic Programming Articles by Wei-Li Liu

1. Jinghui Zhong and Junlan Dong and Wei-Li Liu and Liang Feng and Jun Zhang. Multiform Genetic Programming Framework for Symbolic Regression Problems. IEEE Transactions on Evolutionary Computation, 29(2):429-443, 2025. details

2. Tingyang Wei and Wei-Li Liu and Jinghui Zhong and Yue-Jiao Gong. Multiclass Classification on High Dimension and Low Sample Size Data using Genetic Programming. IEEE Transactions on Emerging Topics in Computing, 10(2):704-718, 2022. details

3. Wei-Li Liu and Jiaquan Yang and Jinghui Zhong and Shibin Wang. Genetic programming with separability detection for symbolic regression. Complex \& Intelligent Systems, 7(3) 2021. details

4. Junlan Dong and Jinghui Zhong and Wei-Li Liu and Jun Zhang. Evolving Equation Learner For Symbolic Regression. IEEE Transactions on Evolutionary Computation. Early Access. details

Genetic Programming conference papers by Wei-Li Liu

• Yuanzi Hong and Wei-Li Liu and Jinghui Zhong and Peng Liang and Jianhua Guo and Chunying Li. Archive-based Cooperative Coevolution Genetic Programming for Workflow Scheduling. In 2024 IEEE Conference on Artificial Intelligence (CAI), pages 216-219, 2024. details

• Jinghui Zhong and Linhao Li and Wei-Li Liu and Liang Feng and Xiao-Min Hu. A Co-evolutionary Cartesian Genetic Programming with Adaptive Knowledge Transfer. In Carlos A. Coello Coello editor, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 2665-2672, Wellington, New Zealand, 2019. IEEE Press. details

• Zhixing Huang and Jinghui Zhong and Weili Liu and Zhou Wu. Multi-population genetic programming with adaptively weighted building blocks for symbolic regression. In Carlos Cotta and Tapabrata Ray and Hisao Ishibuchi and Shigeru Obayashi and Bogdan Filipic and Thomas Bartz-Beielstein and Grant Dick and Masaharu Munetomo and Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor Pellicer and Manuel Lopez-Ibanez and Daniel R. Tauritz and Pietro S. Oliveto and Thomas Weise and Borys Wrobel and Ales Zamuda and Anne Auger and Julien Bect and Dimo Brockhoff and Nikolaus Hansen and Rodolphe Le Riche and Victor Picheny and Bilel Derbel and Ke Li and Hui Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Stephane Doncieux and Richard Duro and Joshua Auerbach and Harold de Vladar and Antonio J. Fernandez-Leiva and JJ Merelo and Pedro A. Castillo-Valdivieso and David Camacho-Fernandez and Francisco Chavez de la O and Ozgur Akman and Khulood Alyahya and Juergen Branke and Kevin Doherty and Jonathan Fieldsend and Giuseppe Carlo Marano and Nikos D. Lagaros and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Boris Naujoks and Vanessa Volz and Tea Tusar and Pascal Kerschke and Riyad Alshammari and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo and John McCall and Nayat Sanchez-Pi and Luis Marti and Danilo Vasconcellos and Masaya Nakata and Anthony Stein and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino and Umberto Scafuri and P. G. M. Baltus and Giovanni Iacca and Ahmed Hallawa and Anil Yaman and Alma Rahat and Handing Wang and Yaochu Jin and David Walker and Richard Everson and Akira Oyama and Koji Shimoyama and Hemant Kumar and Kazuhisa Chiba and Pramudita Satria Palar editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 266-267, Kyoto, Japan, 2018. ACM. details