Design Efficient Technologies for Context Image Analysis in Dialog HCI Using Self-Configuring Novelty Search Genetic Algorithm. - Evgeny Sopov; Ilia Ivanov (ICINCO (2), 2014)

Feature and Decision Level Audio-visual Data Fusion in Emotion Recognition Problem. - Maxim Sidorov; Evgenii Sopov; Ilia Ivanov; Wolfgang Minker (ICINCO (2), 2015)

Multi-strategy Genetic Algorithm for Self-Configuring Solving of Complex Optimization Problems. - Evgenii Sopov (IIAI-AAI, 2015)

Multi-Strategy Genetic Algorithm for Multimodal Optimization. - Evgenii Sopov (IJCCI (ECTA), 2015)

Self-configuring Ensemble of Multimodal Genetic Algorithms. - Evgenii Sopov (IJCCI (Selected Papers), 2015)

A Self-configuring Multi-strategy Multimodal Genetic Algorithm. - Evgenii Sopov (NaBIC, 2015)

Self-Configuring Ensemble of Neural Network Classifiers for Emotion Recognition in the Intelligent Human-Machine Interaction. - Evgenii Sopov; Ilia Ivanov (SSCI, 2015)

Multi-Strategy Multimodal Genetic Algorithm for Designing Fuzzy Rule Based Classifiers. - Vladimir Stanovov; Evgenii Sopov; Eugene Semenkin (SSCI, 2015)

A Self-configuring Metaheuristic for Control of Multi-Strategy Evolutionary Search. - Evgenii Sopov (ICSI (3), 2015)

On the Application of Co-Operative Swarm Optimization in the Solution of Crystal Structures from X-Ray Diffraction Data. - Alexandr Zaloga; Sergey Burakov; Eugene Semenkin; Igor Yakimov; Shakhnaz Akhmedova; Maria Semenkina; Evgenii Sopov (ICSI (1), 2015)

Ensemble of Multimodal Genetic Algorithms for Design and Decision Making Support Problems. - Evgenii Sopov; Eugene Semenkin; Ilia Panfilov (ICINCO (1), 2016)

A Meta-heuristic for Improving the Performance of an Evolutionary Optimization Algorithm Applied to the Dynamic System Identification Problem. - Ivan Ryzhikov; Eugene Semenkin; Evgenii Sopov (IJCCI (ECTA), 2016)

EDA-based Decomposition Approach for Binary LSGO Problems. - Evgenii Sopov (IJCCI (ECTA), 2016)

Large-Scale Global Optimization Using a Binary Genetic Algorithm with EDA-Based Decomposition. - Evgenii Sopov (ICSI (1), 2016)

A selection hyper-heuristic with online learning for control of genetic algorithm ensemble. - Evgenii Sopov (Int. J. Hybrid Intell. Syst., 2016)

Genetic Programming Hyper-heuristic for the Automated Synthesis of Selection Operators in Genetic Algorithms. - Evgenii Sopov (IJCCI, 2017)

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)

Adaptive Variable-Size Random Grouping for Evolutionary Large-Scale Global Optimization. - Evgenii Sopov (ICSI (1), 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)

Genetic Programming based Synthesis of Clustering Algorithm for Identifying Batches of Electronic Components. - Evgenii Sopov; Ilia Panfilov (ICINCO (1), 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)

Solving a Problem of the Lateral Dynamics Identification of a UAV using a Hyper-heuristic for Non-stationary Optimization. - Evgenii Sopov (IJCCI, 2021)

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

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)