Genetic Programming Bibliography entries for Illya Bakurov

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GP coauthors/coeditors: Irene Azzali, Leonardo Vanneschi, Sara Silva, Mario Giacobini, Marco Ivaldi, Brian J Ross, Mauro Castelli, Maria Joao Freitas, Francesco R Fontanella, Marco Buzzelli, Raimondo Schettini, Olivier Gau, Alessandra Scotto di Freca, Jose Manuel Munoz Contreras, Nuno Miguel Rodrigues Domingos, Leonardo Trujillo, Nathaniel Haut, Wolfgang Banzhaf, Aidan Murphy, Charles Ofria, Palina Bartashevich, Sanaz Mostaghim, Davide Farinati, Mark Kocherovsky, Kianinejad Marzieh, Francesco Marchetti, Bing Xue, Luca Manzoni,

Genetic Programming Articles by Illya Bakurov

  1. Illya Bakurov and Jose Manuel Munoz Contreras and Mauro Castelli and Nuno Rodrigues and Sara Silva and Leonardo Trujillo and Leonardo Vanneschi. Geometric semantic genetic programming with normalized and standardized random programs. Genetic Programming and Evolvable Machines, 25:Article no 6, 2024. Online first. details

  2. Davide Farinati and Illya Bakurov and Leonardo Vanneschi. A study of dynamic populations in geometric semantic genetic programming. Information Sciences, 648:119513, 2023. details

  3. Illya Bakurov and Marco Buzzelli and Raimondo Schettini and Mauro Castelli and Leonardo Vanneschi. Full-Reference Image Quality Expression via Genetic Programming. IEEE Trans. Image Process., 32:1458-1473, 2023. details

  4. Illya Bakurov and Marco Buzzelli and Raimondo Schettini and Mauro Castelli and Leonardo Vanneschi. Semantic segmentation network stacking with genetic programming. Genetic Programming and Evolvable Machines, 24(2):Article number: 15, 2023. Special Issue on Highlights of Genetic Programming 2022 Events. details

  5. I. Bakurov and M. Castelli and F. Fontanella and A. Scotto di Freca and L. Vanneschi. A novel binary classification approach based on geometric semantic genetic programming. Swarm and Evolutionary Computation, 69:101028, 2022. details

  6. Illya Bakurov and Marco Buzzelli and Mauro Castelli and Leonardo Vanneschi and Raimondo Schettini. General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python. Applied Sciences, 11(11):Article-number 4774, 2021. details

  7. Illya Bakurov and Mauro Castelli and Olivier Gau and Francesco Fontanella and Leonardo Vanneschi. Genetic programming for stacked generalization. Swarm and Evolutionary Computation, 65:100913, 2021. details

  8. Irene Azzali and Leonardo Vanneschi and Illya Bakurov and Sara Silva and Marco Ivaldi and Mario Giacobini. Towards the use of vector based GP to predict physiological time series. Applied Soft Computing, 89:106097, 2020. details

Genetic Programming PhD doctoral thesis Illya Bakurov

Genetic Programming Conference proceedings edited by Illya Bakurov

Genetic Programming conference papers by Illya Bakurov

  1. Mark Kocherovsky and Kianinejad Marzieh and Illya Bakurov and Wolfgang Banzhaf. On the Effectiveness of Crossover Operators in Cartesian Genetic Programming. In Bing Xue and Luca Manzoni and Illya Bakurov editors, European Conference on Genetic Programming, EuroGP 2025, volume 15609, pages 68-84, Trieste, 2025. Springer Nature. details

  2. Illya Bakurov and Aidan Murphy and Charles Ofria and Wolfgang Banzhaf. A comparison of tournament and lexicase selection paradigms in regression problems: error-based fitness versus correlation fitness. In Aniko Ekart and Nelishia Pillay editors, Proceedings of the 2025 Genetic and Evolutionary Computation Conference, pages 970-979, Malaga, Spain, 2025. Association for Computing Machinery. details

  3. Illya Bakurov. Analyzing Fitness Aggregation Strategies for Symbolic Regression Problem-Solving. In Wolfgang Banzhaf and Bogdan Burlacu and Stephen Kelly and Alexander Lalejini and Fabricio Olivetti de Franca editors, Genetic Programming Theory and Practice XXII, Michigan State University, USA, 2025. lightning talk. details

  4. Francesco Marchetti and Mauro Castelli and Illya Bakurov and Leonardo Vanneschi. Full Inclusive Genetic Programming. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  5. Wolfgang Banzhaf and Illya Bakurov. On the Nature of the Phenotype in Tree Genetic Programming. In Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 868-877, Melbourne, Australia, 2024. Association for Computing Machinery. details

  6. Illya Bakurov and Nathan Haut and Wolfgang Banzhaf. Sharpness-Aware Minimization in Genetic Programming. In Stephan M. Winkler and Wolfgang Banzhaf and Ting Hu and Alexander Lalejini editors, Genetic Programming Theory and Practice XXI, pages 151-175, University of Michigan, USA, 2024. Springer. details

  7. Illya Bakurov and Marco Buzzelli and Mauro Castelli and Raimondo Schettini and Leonardo Vanneschi. Genetic Programming for Structural Similarity Design at Multiple Spatial Scales. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 911-919, Boston, USA, 2022. Association for Computing Machinery. details

  8. Illya Bakurov and Mauro Castelli and Francesco Fontanella and Leonardo Vanneschi. A Regression-like Classification System for Geometric Semantic Genetic Programming. In Juan Julian Merelo Guervos and Jonathan M. Garibaldi and Alejandro Linares-Barranco and Kurosh Madani and Kevin Warwick editors, Proceedings of the 11th International Joint Conference on Computational Intelligence, IJCCI 2019, Vienna, Austria, September 17-19, 2019, pages 40-48, 2019. ScitePress. details

  9. Illya Bakurov and Leonardo Vanneschi and Mauro Castelli and Maria Joao Freitas. Supporting Medical Decisions for Treating Rare Diseases through Genetic Programming. In Paul Kaufmann and Pedro A. Castillo editors, 22nd International Conference, EvoApplications 2019, volume 11454, pages 187-203, Leipzig, Germany, 2019. Springer Verlag. details

  10. Irene Azzali and Leonardo Vanneschi and Sara Silva and Illya Bakurov and Mario Giacobini. A Vectorial Approach to Genetic Programming. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 213-227, Leipzig, Germany, 2019. Springer Verlag. details

  11. Palina Bartashevich and Illya Bakurov and Sanaz Mostaghim and Leonardo Vanneschi. PSO-based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming. In Anne Auger and Carlos M. Fonseca and Nuno Lourenco and Penousal Machado and Luis Paquete and Darrell Whitley editors, 15th International Conference on Parallel Problem Solving from Nature, volume 11101, pages 41-53, Coimbra, Portugal, 2018. Springer. details

  12. Palina Bartashevich and Illya Bakurov and Sanaz Mostaghim and Leonardo Vanneschi. Evolving PSO algorithm design in vector fields using geometric semantic GP. 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 262-263, Kyoto, Japan, 2018. ACM. details

  13. Illya Bakurov and Brian J. Ross. Non-photorealistic Rendering with Cartesian Genetic Programming Using Graphics Processing Units. In Juan Romero and Antonios Liapis and Aniko Ekart editors, 7th International Conference on Computational Intelligence in Music, Sound, Art and Design, EvoMUSART 2018, volume 10783, pages 34-49, Parma, Italy, 2018. Springer. details

  14. Leonardo Vanneschi and Illya Bakurov and Mauro Castelli. An initialization technique for geometric semantic GP based on demes evolution and despeciation. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 113-120, Donostia, San Sebastian, Spain, 2017. IEEE. details

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