Vladimir Mironovich

According to our database, Vladimir Mironovich authored at least 10 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Towards landscape-aware parameter tuning for the (1 + (<i>λ, λ</i>)) genetic algorithm for permutations.

Aleksandr Smirnov, Vladimir Mironovich

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Evaluation of inverse selection operators on maximum flow test generation problem.

Egor Kurbatov, Vladimir Mironovich

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Parameter Tuning for the (1 + (λ , λ )) Genetic Algorithm Using Landscape Analysis and Machine Learning.

Maxim Pikalov, Vladimir Mironovich

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021

Automated parameter choice with exploratory landscape analysis and machine learning.

Maxim Pikalov, Vladimir Mironovich

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2019

Permutation Encoding for Automatic Reconstruction of Connections in Closed-Loop Control System using Evolutionary Algorithm.

Vladimir Mironovich, Maxim Buzdalov, Valeriy Vyatkin

Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2018

From fitness landscape analysis to designing evolutionary algorithms: the case study in automatic generation of function block applications.

Vladimir Mironovich, Maxim Buzdalov, Valeriy Vyatkin

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Automatic Plant-Controller Input/Output Matching using Evolutionary Algorithms.

Vladimir Mironovich, Maxim Buzdalov, Valeriy Vyatkin

Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

2017

Automatic generation of function block applications using evolutionary algorithms: Initial explorations.

Vladimir Mironovich, Maxim Buzdalov, Valeriy Vyatkin

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Evaluation of heavy-tailed mutation operator on maximum flow test generation problem.

Vladimir Mironovich, Maxim Buzdalov

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2015

Hard Test Generation for Maximum Flow Algorithms with the Fast Crossover-Based Evolutionary Algorithm.

Vladimir Mironovich, Maxim Buzdalov

Proceedings of the Genetic and Evolutionary Computation Conference, 2015