Iakov Korovin

43 papers B 9C 1Journal 12Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Event-triggered approximately optimized formation control of multi-agent systems with unknown disturbances via simplified reinforcement learning.
Appl. Math. Comput.
Yang Yang, Shuocong Geng, Dong Yue, Sergey Gorbachev, Iakov Korovin
2024 J jnl
A game theory based optimal allocation strategy for defense resources of smart grid under cyber-attack.
Inf. Sci.
Hui Ge, Lei Zhao, Dong Yue, Xiangpeng Xie, Linghai Xie, Sergey Gorbachev, Iakov Korovin, Yuan Ge
2024 J jnl
Distributed adaptive neural network consensus control of fractional-order multi-agent systems with unknown control directions.
Inf. Sci.
Hongling Qiu, Iakov Korovin, Heng Liu, Sergey Gorbachev, Nadezhda Gorbacheva, Jinde Cao
2024 J jnl
Neurodynamic approaches for multi-agent distributed optimization.
Neural Networks
Luyao Guo, Iakov Korovin, Sergey Gorbachev, Xinli Shi, Nadezhda Gorbacheva, Jinde Cao
2023 J jnl
A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack.
IEEE CAA J. Autom. Sinica
Zhuoxuan Li, Iakov Korovin, Xinli Shi, Sergey Gorbachev, Nadezhda Gorbacheva, Wei Huang, Jinde Cao
2023 J jnl
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack.
CoRR
Zhuoxuan Li, Iakov Korovin, Xinli Shi, Sergey Gorbachev, Nadezhda Gorbacheva, Wei Huang, Jinde Cao
2023 J jnl
Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning.
Neural Networks
Zikai Feng, Mengxing Huang, Yuanyuan Wu, Di Wu, Jinde Cao, Iakov Korovin, Sergey Gorbachev, Nadezhda Gorbacheva
2022 J jnl
Boundary consensus control strategies for fractional-order multi-agent systems with reaction-diffusion terms.
Inf. Sci.
Yan Xu, Chengdong Yang, Jinde Cao, Iakov Korovin, Sergey Gorbachev, Nadezhda Gorbacheva
2022 J jnl
Multi-agent based optimal equilibrium selection with resilience constraints for traffic flow.
Neural Networks
Ping Liu, Iakov Korovin, Sergey Gorbachev, Nadezhda Gorbacheva, Jinde Cao
2021 B conf
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator.
SMC
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram
2021 J jnl
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator.
CoRR
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram
2021 — conf
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space.
SSCI
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand
2021 J jnl
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space.
CoRR
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand
2021 — conf
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm.
SSCI
Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
2021 J jnl
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm.
CoRR
Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
2021 B conf
RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks.
EvoApplications
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva
2020 — conf
A Novel Image Segmentation Based on Clustering and Population-Based Optimisation.
ICSI
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh, Iakov Korovin
2020 — conf
A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training.
GECCO Companion
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Seyed Mohammad Jafar Jalali, Iakov Korovin
2020 B conf
An Effective Approach for Neural Network Training Based on Comprehensive Learning.
ICPR
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
2020 B conf
Colour Image Denoising using Curvelets and Scale Dependent Shrinkage.
SMC
Oussama Kadri, Zine-Eddine Baarir, Gerald Schaefer, Iakov Korovin
2020 — conf
Colour Quantisation by Human Mental Search.
ICSI
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hui Fang, Xiyao Liu, Iakov Korovin
2020 — conf
Colour quantisation using self-organizing migrating algorithm.
GECCO Companion
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
2020 — conf
Effective image clustering using self-organizing migrating algorithm.
GECCO Companion
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
2020 — conf
High-dimensional multi-level image thresholding using self-organizing migrating algorithm.
GECCO Companion
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
2020 — conf
High-dimensional multi-level maximum variance threshold selection for image segmentation: a benchmark of recent population-based metaheuristic algorithms.
GECCO Companion
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Zahra Movahedi, Iakov Korovin
2020 — conf
Human Pose Estimation Applying ANN While RGB-D Cameras Video Handling.
CSOC (2)
Iakov Korovin, Donat Ivanov
2020 — conf
Imbalanced Ensemble Learning for Enhanced Pulsar Identification.
ICSI
Jakub Holewik, Gerald Schaefer, Iakov Korovin
2020 B conf
On Improvements of the Human Mental Search Algorithm for Global Optimisation.
CEC
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Leila Esmaeili, Iakov Korovin
2019 — conf
A Cognitive Assistant Functional Model and Architecture for the Social Media Victim Behavior Prevention.
CSOC (2)
Eduard Melnik, Iakov Korovin, Anna Klimenko
2019 B conf
A Global-Best Guided Human Mental Search Algorithm with Random Clustering Strategy.
SMC
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
2019 — conf
An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks.
ISNN (1)
Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Gerald Schaefer, Iakov Korovin
2019 — conf
Explaining Neural Network Output Using Evolutionary Calculations.
EBEE
Iakov Korovin, Maxim Khisamutdinov
2019 — conf
Methods of Neural Network Analysis of Oilfield Data.
ICCAI
Iakov Korovin, Maxim Khisamutdinov, Donat Ivanov
2019 C conf
Obtaining a noise-free image based on an analysis of an unstabilized video sequence under conditions of a probable optical flow failure.
ICMV
Iakov Korovin, Maxim Khisamutdinov
2019 — conf
The Fog-Computing Based Reliability Enhancement in the Robot Swarm.
ICR
Iakov Korovin, Eduard Melnik, Anna Klimenko
2018 — conf
A Basic Algorithm of a Target Environment Analyzer.
ICAAI
Iakov Korovin, Maxim Khisamutdinov, Donat Ivanov
2018 — conf
Improvement of a Video Sequence Singular Image.
ICAAI
Iakov Korovin, Maxim Khisamutdinov, Donat Ivanov
2017 — conf
Improving Dependability of Reconfigurable Robotic Control System.
ICR
Eduard Melnik, Iakov Korovin, Anna Klimenko
2016 — conf
A Recovery Method for the Robotic Decentralized Control System with Performance Redundancy.
ICR
Iakov Korovin, Eduard Melnik, Anna Klimenko
2016 B conf
Classifying HEp-2 cells in immunofluorescence images using multiple kernel learning.
SMC
Gerald Schaefer, Niraj P. Doshi, Iakov Korovin, Shao Ying Zhu
2016 B conf
Credibility investigation of newsworthy tweets using a visualising Petri net model.
SMC
Mohamed Torky, Ramadan Babers, Ragia A. Ibrahim, Aboul Ella Hassanien, Gerald Schaefer, Iakov Korovin, Shao Ying Zhu
2016 — conf
Decentralized Approach to Control of Robot Groups During Execution of the Task Flow.
ICR
Igor A. Kalyaev, Anatoly Kalyaev, Iakov Korovin
2016 B conf
Historic handwritten manuscript binarisation using whale optimisation.
SMC
Aboul Ella Hassanien, Mohamed Abd Elfattah, Sherihan Aboulenin, Gerald Schaefer, Shao Ying Zhu, Iakov Korovin