Genetic Programming Bibliography entries for Takfarinas Saber

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GP coauthors/coeditors: David Lynch, Stepan Kucera, Holger Claussen, Michael O'Neill, David Fagan, Shen Wang, Ning Tao, Anthony Ventresque, Vivek Nallur, Damian Wlodarczyk,

Genetic Programming Articles by Takfarinas Saber

Genetic Programming conference papers by Takfarinas Saber

  1. Damian Wlodarczyk and Takfarinas Saber. Grammar-Guided Genetic Programming for UAV-Based Mitigation of Urban Disaster Traffic Congestion. In 2025 IEEE 22nd Consumer Communications \& Networking Conference (CCNC), 2025. details

  2. Ning Tao and Anthony Ventresque and Takfarinas Saber. Program Synthesis with Generative Pre-trained Transformers and Grammar-Guided Genetic Programming Grammar. In 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2023. details

  3. Ning Tao and Anthony Ventresque and Takfarinas Saber. Assessing Similarity-Based Grammar-Guided Genetic Programming Approaches for Program Synthesis. In Optimization and Learning, 2022. Springer. details

  4. Ning Tao and Anthony Ventresque and Takfarinas Saber. Multi-objective Grammar-guided Genetic Programming with Code Similarity Measurement for Program Synthesis. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  5. Takfarinas Saber and Shen Wang. Evolving Better Rerouting Surrogate Travel Costs with Grammar-Guided Genetic Programming. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24418, internet, 2020. IEEE Press. details

  6. Takfarinas Saber and David Lynch and David Fagan and Stepan Kucera and Holger Claussen and Michael O'Neill. Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24240, internet, 2020. IEEE Press. details

  7. David Lynch and Takfarinas Saber and Stepan Kucera and Holger Claussen and Michael O'Neill. Evolutionary Learning of Link Allocation Algorithms for 5G Heterogeneous Wireless Communications Networks. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1258-1265, Prague, Czech Republic, 2019. ACM. details

  8. Takfarinas Saber and David Fagan and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill. A Hierarchical Approach to Grammar-Guided Genetic Programming: The case of Scheduling in Heterogeneous Networks. In David Fagan and Carlos Martin-Vide and Michael O'Neill and Miguel A. Vega-Rodriguez editors, 7th International Conference Theory and Practice of Natural Computing, TPNC 2018, volume 11324, Dublin, Ireland, 2018. Springer. details

  9. Takfarinas Saber and David Fagan and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill. Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 118-134, Parma, Italy, 2018. Springer Verlag. details