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Vladimir Mironovich
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Evaluation of heavy-tailed mutation operator on maximum flow test generation problem
V Mironovich, M Buzdalov
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
172017
Automated parameter choice with exploratory landscape analysis and machine learning
M Pikalov, V Mironovich
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
122021
Hard test generation for maximum flow algorithms with the fast crossover-based evolutionary algorithm
V Mironovich, M Buzdalov
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
112015
Automatic generation of function block applications using evolutionary algorithms: Initial explorations
V Mironovich, M Buzdalov, V Vyatkin
2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017
92017
Parameter Tuning for the Genetic Algorithm Using Landscape Analysis and Machine Learning
M Pikalov, V Mironovich
International Conference on the Applications of Evolutionary Computation …, 2022
52022
Automatic plant-controller input/output matching using evolutionary algorithms
V Mironovich, M Buzdalov, V Vyatkin
2018 IEEE 23rd International Conference on Emerging Technologies and Factory …, 2018
22018
From fitness landscape analysis to designing evolutionary algorithms: the case study in automatic generation of function block applications
V Mironovich, M Buzdalov, V Vyatkin
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
22018
Generation of tests against a greedy algorithm for the knapsack problem using an evolutionary algorithm
V Mironovich, M Buzdalov
Proceedings of the 20th International Conference on Soft Computing MENDEL, 77-82, 2014
22014
Evaluation of Permutation-Based Mutation Operators on the Problem of Automatic Connection Matching in Closed-Loop Control System
V Mironovich, M Buzdalov, V Vyatkin
Recent Advances in Soft Computing and Cybernetics, 41-51, 2021
12021
Comparative study of representations in the maximum flow test generation problem
V Mironovich, M Buzdalov, V Parfenov
22nd International Conference on Soft Computing: Evolutionary Computation …, 2016
12016
Towards landscape-aware parameter tuning for the (1 + (λ, λ)) genetic algorithm for permutations
A Smirnov, V Mironovich
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
2022
Evaluation of inverse selection operators on maximum flow test generation problem
E Kurbatov, V Mironovich
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
2022
Towards Landscape-aware Parameter Tuning for the (1+(𝜆, 𝜆)) Genetic Algorithm for Permutations
A Smirnov, V Mironovich
2022
Permutation Encoding for Automatic Reconstruction of Connections in Closed-Loop Control System using Evolutionary Algorithm
V Mironovich, M Buzdalov, V Vyatkin
2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019
2019
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Articles 1–14