Hard Test Generation for Maximum Flow Algorithms with the Fast Crossover-Based Evolutionary Algorithm. - Vladimir Mironovich; Maxim Buzdalov 001 (GECCO (Companion), 2015)

Evaluation of heavy-tailed mutation operator on maximum flow test generation problem. - Vladimir Mironovich; Maxim Buzdalov 001 (GECCO (Companion), 2017)

Automatic generation of function block applications using evolutionary algorithms: Initial explorations. - Vladimir Mironovich; Maxim Buzdalov 001; Valeriy Vyatkin (INDIN, 2017)

Automatic Plant-Controller Input/Output Matching using Evolutionary Algorithms. - Vladimir Mironovich; Maxim Buzdalov 001; Valeriy Vyatkin (ETFA, 2018)

From fitness landscape analysis to designing evolutionary algorithms: the case study in automatic generation of function block applications. - Vladimir Mironovich; Maxim Buzdalov 001; Valeriy Vyatkin (GECCO (Companion), 2018)

Permutation Encoding for Automatic Reconstruction of Connections in Closed-Loop Control System using Evolutionary Algorithm. - Vladimir Mironovich; Maxim Buzdalov 001; Valeriy Vyatkin (ETFA, 2019)

Automated parameter choice with exploratory landscape analysis and machine learning. - Maxim Pikalov; Vladimir Mironovich (GECCO Companion, 2021)

Parameter Tuning for the (1 + (λ , λ )) Genetic Algorithm Using Landscape Analysis and Machine Learning. - Maxim Pikalov; Vladimir Mironovich (EvoApplications, 2022)

Evaluation of inverse selection operators on maximum flow test generation problem. - Egor Kurbatov; Vladimir Mironovich (GECCO Companion, 2022)

Towards landscape-aware parameter tuning for the (1 + (λ, λ)) genetic algorithm for permutations. - Aleksandr Smirnov; Vladimir Mironovich (GECCO Companion, 2022)