| Investigation of improved cooperative coevolution for large-scale global optimization problems A Vakhnin, E Sopov Algorithms 14 (5), 146, 2021 | 12 | 2021 |
| Investigation of the iCC framework performance for solving constrained LSGO problems A Vakhnin, E Sopov Algorithms 13 (5), 108, 2020 | 8 | 2020 |
| An Investigation of Parameter Tuning in the Random Adaptive Grouping Algorithm for LSGO Problems. E Sopov, A Vakhnin IJCCI, 255-263, 2018 | 8 | 2018 |
| On Improving Adaptive Problem Decomposition Using Differential Evolution for Large-Scale Optimization Problems A Vakhnin, E Sopov, E Semenkin Mathematics 10 (22), 4297, 2022 | 6 | 2022 |
| Improving the quantum multi-swarm optimization with adaptive differential evolution for dynamic environments V Stanovov, S Akhmedova, A Vakhnin, E Sopov, E Semenkin, ... Algorithms 15 (5), 154, 2022 | 6 | 2022 |
| A Novel Method for Grouping Variables in Cooperative Coevolution for Large-scale Global Optimization Problems. A Vakhnin, E Sopov ICINCO (1), 271-278, 2018 | 6 | 2018 |
| On tuning group sizes in the random adaptive grouping algorithm for large-scale global optimization problems E Sopov, A Vakhnin, E Semenkin 2018 International Conference on Applied Mathematics & Computational Science …, 2018 | 5 | 2018 |
| Improving DE-based cooperative coevolution for constrained large-scale global optimization problems using an increasing grouping strategy A Vakhnin, E Sopov IOP Conference Series: Materials Science and Engineering 734 (1), 012099, 2020 | 4 | 2020 |
| Investigating the effects of population size and the number of subcomponents on the performance of SHADE algorithm with random adaptive grouping for LSGO problems E Sopov, A Vakhnin Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 3 | 2019 |
| Improved random adaptive grouping approach for solving unconstrained LSGO problems A Vakhnin, E Sopov, I Panfilov Journal of Physics: Conference Series 1515 (3), 032076, 2020 | 2 | 2020 |
| A Decomposition-based Approach for Constrained Large-Scale Global Optimization. E Sopov, A Vakhnin IJCCI, 147-154, 2019 | 2 | 2019 |
| A Novel Self-Adaptive Cooperative Coevolution Algorithm for Solving Continuous Large-Scale Global Optimization Problems A Vakhnin, E Sopov Algorithms 15 (12), 451, 2022 | 1 | 2022 |
| The comparison of efficiency of the population formation approachesin the dynamic multi-objective optimization problems EA Sopov, AV Vakhnin, MA Rurich Siberian Aerospace Journal 23 (2), 227-240, 2022 | 1 | 2022 |
| Using the iCC framework for solving unconstrained LSGO problems A Vakhnin, E Sopov IOP Conference Series: Materials Science and Engineering 1047 (1), 012085, 2021 | 1 | 2021 |
| Large-scale clustering using decomposition-based evolutionary algorithms A Vakhnin, E Sopov 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 345-352, 2020 | 1 | 2020 |
| An approach for initializing the random adaptive grouping algorithm for solving large-scale global optimization problems A Vakhnin, E Sopov IOP Conference Series: Materials Science and Engineering 537 (4), 042006, 2019 | 1 | 2019 |
| A problem decomposition approach for large-scale global optimization problems AV Vakhnin, EA Sopov, IA Panfilov, AS Polyakova, DV Kustov IOP Conference Series: Materials Science and Engineering 537 (5), 052031, 2019 | 1 | 2019 |
| Development and analysis of a self-configuring differential evolution algorithm Z Novikov, A Vakhnin ITM Web of Conferences 59, 02021, 2024 | | 2024 |
| Using cooperative coevolution in large-scale black-box constraint satisfaction problems A Vakhnin, Z Novikov ITM Web of Conferences 59, 02022, 2024 | | 2024 |
| A novel metaheuristic for solving LSGO problems A Vakhnin, E Sopov AIP Conference Proceedings 2700 (1), 2023 | | 2023 |
