Genetic Programming Bibliography entries for Eugene Semenkin

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GP coauthors/coeditors: Sergei V Burakov, Tatiana Karaseva, Maria Semenkina, Ilia Panfilov, Andrey Shabalov, Pavel Galushin, Vladimir Stanovov, Shakhnaz Akhmedova,

Genetic Programming Articles by Eugene Semenkin

  1. Tatiana Karaseva and Eugene Semenkin. Evolutionary Approaches to the Identification of Dynamic Processes in the Form of Differential Equations and Their Systems. Algorithms, 15(10):Article No. 351, 2022. details

  2. Vladimir Stanovov and Shakhnaz Akhmedova and Eugene Semenkin. The automatic design of parameter adaptation techniques for differential evolution with genetic programming. Knowledge-Based Systems, 239:108070, 2022. details

  3. Vladimir Stanovov and Shakhnaz Akhmedova and Eugene Semenkin. Difference-Based Mutation Operation for Neuroevolution of Augmented Topologies. Algorithms, 14(5) 2021. details

  4. Sergei V. Burakov and Eugene S. Semenkin. Solving variational and Cauchy problems with self-configuring genetic programming algorithm. International Journal of Innovative Computing and Applications, 5(3):152-162, 2013. Special Issue on: BIOMA 2012 Advances in Bio-inspired Computing. Guest Editors: Assistant Professor Jurij Silc and Associate Professor Bogdan Filipic. details

Genetic Programming conference papers by Eugene Semenkin

  1. Vladimir Stanovov and Eugene Semenkin. Genetic Programming for Automatic Design of Parameter Adaptation in Dual-Population Differential Evolution. In Daniel Tauritz and John Woodward and Emma Hart editors, 13th Workshop on Evolutionary Computation for the Automated Design of Algorithms, pages 1736-1743, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  2. Tatiana Karaseva and Eugene Semenkin. On the Automatic Identification of Differential Equations using a Hybrid Evolutionary Approach. In 2021 International Conference on Information Technologies (InfoTech), 2021. details

  3. Maria Semenkina and Eugene Semenkin. Memetic Self-Configuring Genetic Programming for Fuzzy Classifier Ensemble Design. In Ying Tan and Yuhui Shi and Fernando Buarque de Lima Neto and Alexander F. Gelbukh and Swagatam Das and Andries P. Engelbrecht editors, Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part I, volume 9140, pages 285-293, 2015. Springer. details

  4. Maria Semenkina and Eugene Semenkin. Memetic Self-Configuring Genetic Programming for Solving Machine Learning Problems. In 4th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), pages 599-604, 2015. details

  5. Maria Semenkina and Eugene Semenkin. Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm. In Marco Tomassini and Alberto Antonioni and Fabio Daolio and Pierre Buesser editors, Proceedings 11th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2013, volume 7824, pages 60-69, Lausanne, Switzerland, 2013. Springer. details

  6. Eugene Semenkin and Maria Semenkina and Ilia Panfilov. Neural Network Ensembles Design with Self-Configuring Genetic Programming Algorithm for Solving Computer Security Problems. In Alvaro Herrero and Vaclav Snasel and Ajith Abraham and Ivan Zelinka and Bruno Baruque and Hector Quintian-Pardo and Jose Luis Calvo-Rolle and Javier Sedano and Emilio Corchado editors, International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, volume 189, pages 25-32, Ostrava, Czech Republic, 2012. Springer. details

  7. Eugene Semenkin and Maria Semenkina. Self-configuring genetic programming algorithm with modified uniform crossover. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 2501-2506, Brisbane, Australia, 2012. details

  8. E. S. Semenkin and M. E. Semenkina. Artificial neural networks design with self-configuring genetic programming algorithm. In Bogdan Filipic and Jurij Silc editors, 5th International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2012, pages 291-300, Bohinj, Slovenia, 2012. details

  9. Andrey Shabalov and Eugene Semenkin and Pavel Galushin. Automatized design application of intelligent information technologies for data mining problems. In Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011), volume 4, pages 2596-2599, Shanghai, China, 2011. details