Decentralized Approach to Control of Robot Groups During Execution of the Task Flow. - Igor A. Kalyaev; Anatoly Kalyaev; Iakov Korovin (ICR, 2016)

A Recovery Method for the Robotic Decentralized Control System with Performance Redundancy. - Iakov Korovin; Eduard Melnik; Anna Klimenko (ICR, 2016)

Historic handwritten manuscript binarisation using whale optimisation. - Aboul Ella Hassanien; Mohamed Abd Elfattah; Sherihan Aboulenin; Gerald Schaefer; Shao Ying Zhu; Iakov Korovin (SMC, 2016)

Classifying HEp-2 cells in immunofluorescence images using multiple kernel learning. - Gerald Schaefer; Niraj P. Doshi; Iakov Korovin; Shao Ying Zhu (SMC, 2016)

Credibility investigation of newsworthy tweets using a visualising Petri net model. - Mohamed Torky; Ramadan Babers; Ragia A. Ibrahim; Aboul Ella Hassanien; Gerald Schaefer; Iakov Korovin; Shao Ying Zhu (SMC, 2016)

Improving Dependability of Reconfigurable Robotic Control System. - Eduard Melnik; Iakov Korovin; Anna Klimenko (ICR, 2017)

A Basic Algorithm of a Target Environment Analyzer. - Iakov Korovin; Maxim Khisamutdinov; Donat Ivanov (ICAAI, 2018)

Improvement of a Video Sequence Singular Image. - Iakov Korovin; Maxim Khisamutdinov; Donat Ivanov (ICAAI, 2018)

A Cognitive Assistant Functional Model and Architecture for the Social Media Victim Behavior Prevention. - Eduard Melnik; Iakov Korovin; Anna Klimenko (CSOC (2), 2019)

Explaining Neural Network Output Using Evolutionary Calculations. - Iakov Korovin; Maxim Khisamutdinov (EBEE, 2019)

The Method of Organizing a Service-oriented User Interface for Multi-agent Information and Control Systems. - Iakov S. Korovin; Donat Ya. Ivanov; Sergei A. Semenistyi (ICBRA, 2019)

Methods of Neural Network Analysis of Oilfield Data. - Iakov Korovin; Maxim Khisamutdinov; Donat Ivanov (ICCAI, 2019)

Obtaining a noise-free image based on an analysis of an unstabilized video sequence under conditions of a probable optical flow failure. - Iakov Korovin; Maxim Khisamutdinov (ICMV, 2019)

The Fog-Computing Based Reliability Enhancement in the Robot Swarm. - Iakov Korovin; Eduard Melnik; Anna Klimenko (ICR, 2019)

An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks. - Seyed Jalaleddin Mousavirad; Azam Asilian Bidgoli; Hossein Ebrahimpour-Komleh; Gerald Schaefer; Iakov Korovin (ISNN (1), 2019)

A Global-Best Guided Human Mental Search Algorithm with Random Clustering Strategy. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (SMC, 2019)

On Improvements of the Human Mental Search Algorithm for Global Optimisation. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Leila Esmaeili; Iakov Korovin (CEC, 2020)

Human Pose Estimation Applying ANN While RGB-D Cameras Video Handling. - Iakov Korovin; Donat Ivanov (CSOC (2), 2020)

The Improvement of the Stylometry-Based Cognitive Assistant Performance in Conditions of Big Data Analysis. - Eduard V. Melnik; Iakov S. Korovin; Anna B. Klimenko (CSOC (3), 2020)

A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Seyed Mohammad Jafar Jalali; Iakov Korovin (GECCO Companion, 2020)

Effective image clustering using self-organizing migrating algorithm. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (GECCO Companion, 2020)

Colour quantisation using self-organizing migrating algorithm. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (GECCO Companion, 2020)

High-dimensional multi-level image thresholding using self-organizing migrating algorithm. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (GECCO Companion, 2020)

High-dimensional multi-level maximum variance threshold selection for image segmentation: a benchmark of recent population-based metaheuristic algorithms. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Zahra Movahedi; Iakov Korovin (GECCO Companion, 2020)

An Effective Approach for Neural Network Training Based on Comprehensive Learning. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (ICPR, 2020)

Colour Image Denoising using Curvelets and Scale Dependent Shrinkage. - Oussama Kadri; Zine-Eddine Baarir; Gerald Schaefer; Iakov Korovin (SMC, 2020)

Imbalanced Ensemble Learning for Enhanced Pulsar Identification. - Jakub Holewik; Gerald Schaefer; Iakov Korovin (ICSI, 2020)

A Novel Image Segmentation Based on Clustering and Population-Based Optimisation. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Hossein Ebrahimpour-Komleh; Iakov Korovin (ICSI, 2020)

Colour Quantisation by Human Mental Search. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Hui Fang 003; Xiyao Liu 001; Iakov Korovin (ICSI, 2020)

RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin; Diego Oliva (EvoApplications, 2021)

An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin; Mahshid Helali Moghadam; Mehrdad Saadatmand; Mahdi Pedram (SMC, 2021)

MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. - Ehsan Bojnordi; Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (SSCI, 2021)

HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin; Diego Oliva; Mahshid Helali Moghadam; Mehrdad Saadatmand (SSCI, 2021)

Boundary consensus control strategies for fractional-order multi-agent systems with reaction-diffusion terms. - Yan Xu 005; Chengdong Yang; Jinde Cao; Iakov Korovin; Sergey Gorbachev; Nadezhda Gorbacheva (Inf. Sci., 2022)

Multi-agent based optimal equilibrium selection with resilience constraints for traffic flow. - Ping Liu; Iakov Korovin; Sergey Gorbachev; Nadezhda Gorbacheva; Jinde Cao (Neural Networks, 2022)

Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning. - Zikai Feng; Mengxing Huang; Yuanyuan Wu 002; Di Wu 058; Jinde Cao; Iakov Korovin; Sergey Gorbachev; Nadezhda Gorbacheva (Neural Networks, 2023)

A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack. - Zhuoxuan Li 001; Iakov Korovin; Xinli Shi; Sergey Gorbachev; Nadezhda Gorbacheva; Wei Huang 017; Jinde Cao (IEEE CAA J. Autom. Sinica, 2023)

A game theory based optimal allocation strategy for defense resources of smart grid under cyber-attack. - Hui Ge; Lei Zhao; Dong Yue 001; Xiangpeng Xie 001; Linghai Xie; Sergey Gorbachev; Iakov Korovin; Yuan Ge (Inf. Sci., 2024)

Distributed adaptive neural network consensus control of fractional-order multi-agent systems with unknown control directions. - Hongling Qiu; Iakov Korovin; Heng Liu 003; Sergey Gorbachev; Nadezhda Gorbacheva; Jinde Cao (Inf. Sci., 2024)

Neurodynamic approaches for multi-agent distributed optimization. - Luyao Guo; Iakov Korovin; Sergey Gorbachev; Xinli Shi; Nadezhda Gorbacheva; Jinde Cao (Neural Networks, 2024)

Event-triggered approximately optimized formation control of multi-agent systems with unknown disturbances via simplified reinforcement learning. - Yang Yang 052; Shuocong Geng; Dong Yue 001; Sergey Gorbachev; Iakov Korovin (Appl. Math. Comput., 2025)