A Novel Method for Grouping Variables in Cooperative Coevolution for Large-scale Global Optimization Problems. - Alexey Vakhnin; Evgenii Sopov (ICINCO (1), 2018)

An Investigation of Parameter Tuning in the Random Adaptive Grouping Algorithm for LSGO Problems. - Evgenii Sopov; Alexey Vakhnin (IJCCI, 2018)

Investigating the effects of population size and the number of subcomponents on the performance of SHADE algorithm with random adaptive grouping for LSGO problems. - Evgenii Sopov; Alexey Vakhnin (GECCO (Companion), 2019)

A Decomposition-based Approach for Constrained Large-Scale Global Optimization. - Evgenii Sopov; Alexey Vakhnin (IJCCI, 2019)

Large-scale clustering using decomposition-based evolutionary algorithms. - Alexey Vakhnin; Evgenii Sopov (SSCI, 2020)

Investigation of the iCC Framework Performance for Solving Constrained LSGO Problems. - Alexey Vakhnin; Evgenii Sopov (Algorithms, 2020)

Investigation of Improved Cooperative Coevolution for Large-Scale Global Optimization Problems. - Alexey Vakhnin; Evgenii Sopov (Algorithms, 2021)

A hybrid self-adapting multi-swarm algorithm based on PSO and CMA-ES for continuous dynamic optimization. - Shakhnaz Akhmedova; Vladimir Stanovov; Aleksei Vakhnin (GECCO Companion, 2022)

Improving the Quantum Multi-Swarm Optimization with Adaptive Differential Evolution for Dynamic Environments. - Vladimir Stanovov; Shakhnaz Akhmedova; Alexey Vakhnin; Evgenii Sopov; Eugene Semenkin; Michael Affenzeller (Algorithms, 2022)

A Novel Self-Adaptive Cooperative Coevolution Algorithm for Solving Continuous Large-Scale Global Optimization Problems. - Aleksei Vakhnin; Evgenii Sopov (Algorithms, 2022)