Publications
2022
Kurbatov E., Mironovich V. Evaluation of Inverse Selection Operators on Maximum Flow Test Generation Problem // GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion - 2022, pp. (to appear)
Smirnov A., Mironovich V. Towards Landscape-aware Parameter Tuning for the (1+(λ,λ)) Genetic Algorithm for Permutations // GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion - 2022, (to appear)
Pikalov M., Mironovich V. Parameter Tuning for the (1 + (λ, λ)) Genetic Algorithm using Landscape Analysis and Machine Learning // Applications of Evolutionary Computation. EvoApplications 2022. Lecture Notes in Computer Science, vol 13224, pp. 704-720
2021
Mironovich V., Buzdalov M., Vyatkin V. Evaluation of Permutation-based Mutation Operators on the Problem of Automatic Connection Matching in Closed-loop Control System // Studies in Fuzziness and Soft Computing - 2021, Vol. 403, pp. 41-51
Pikalov M., Mironovich V. Automated Parameter Choice with Exploratory Landscape Analysis and Machine Learning // GECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion - 2021, pp. 1982-1985
2020
Mironovich V. Generation of function block programs for industrial cyber-physical systems using evolutionary algorithms // PhD Thesis, ITMO University, date of defence: 23.12.2020
2019
Mironovich V., Buzdalov M., Vyatkin V. Permutation Encoding for Automatic Reconstruction of Connections in Closed-Loop Control System using Evolutionary Algorithm // 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019 - 2019, pp. 1265-1268
2018
Mironovich V., Buzdalov M., Vyatkin V. From Fitness Landscape Analysis to Designing Evolutionary Algorithms: The Case Study in Automatic Generation of Function Block Applications // GECCO 2018 - Proceedings of the Genetic and Evolutionary Computation Conference - 2018, pp. 1902-1905
Mironovich V., Buzdalov M., Vyatkin V. Automatic Plant-Controller Input/Output Matching using Evolutionary Algorithms // Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation (EFTA) - 2018, pp. 1043-1046
2017
Mironovich V., Buzdalov M. Evaluation of Heavy-tailed Mutation Operator on Maximum Flow Test Generation Problem // Proceedings of Genetic and Evolutionary Computation Companion – 2017, pp. 1423-1426
Mironovich V., Buzdalov M., Vyatkin V. Automatic Generation of Function Block Applications Using Evolutionary Algorithms: Initial Explorations // Proceedings of the 15th IEEE International Conference on Industrial Informatics – 2017, pp. 700-705
2016
Mironovich V., Buzdalov M., Parfenov V. Comparative Study of Representations in the Maximum Flow Test Generation Problem // Proceedings of 22nd International Conference on Soft Computing MENDEL 2016 - 2016, pp. 67-72
2015
Mironovich V., Buzdalov M. Hard Test Generation for Maximum Flow Algorithms with the Fast Crossover-Based Evolutionary Algorithm // GECCO'15: Proceedings of the 2015 Genetic and Evolutionary Computation Conference - 2015, pp. 1229-1232
2014
Mironovich V, Buzdalov M. Generation of tests against a greedy algorithm for knapsack problem using an evolutionary algorithm // Proceedings of 20th International Conference on Soft Computing MENDEL 2014, pp. 77-82