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Iakov Korovin
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2020 – today
- 2025
- [j8]Yang Yang
, Shuocong Geng
, Dong Yue, Sergey Gorbachev
, Iakov Korovin:
Event-triggered approximately optimized formation control of multi-agent systems with unknown disturbances via simplified reinforcement learning. Appl. Math. Comput. 489: 129149 (2025) - 2024
- [j7]Hui Ge
, Lei Zhao, Dong Yue, Xiangpeng Xie, Linghai Xie, Sergey Gorbachev
, Iakov Korovin, Yuan Ge:
A game theory based optimal allocation strategy for defense resources of smart grid under cyber-attack. Inf. Sci. 652: 119759 (2024) - [j6]Hongling Qiu
, Iakov Korovin
, Heng Liu
, Sergey Gorbachev
, Nadezhda Gorbacheva, Jinde Cao
:
Distributed adaptive neural network consensus control of fractional-order multi-agent systems with unknown control directions. Inf. Sci. 655: 119871 (2024) - [j5]Luyao Guo
, Iakov Korovin
, Sergey Gorbachev
, Xinli Shi
, Nadezhda Gorbacheva, Jinde Cao
:
Neurodynamic approaches for multi-agent distributed optimization. Neural Networks 169: 673-684 (2024) - 2023
- [j4]Zhuoxuan Li, Iakov Korovin, Xinli Shi, Sergey Gorbachev, Nadezhda Gorbacheva, Wei Huang, Jinde Cao:
A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack. IEEE CAA J. Autom. Sinica 10(10): 1918-1932 (2023) - [j3]Zikai Feng, Mengxing Huang, Yuanyuan Wu
, Di Wu, Jinde Cao
, Iakov Korovin, Sergey Gorbachev, Nadezhda Gorbacheva:
Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning. Neural Networks 161: 330-342 (2023) - [i4]Zhuoxuan Li, Iakov Korovin, Xinli Shi, Sergey Gorbachev, Nadezhda Gorbacheva, Wei Huang, Jinde Cao:
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack. CoRR abs/2305.06707 (2023) - 2022
- [j2]Yan Xu, Chengdong Yang, Jinde Cao, Iakov Korovin, Sergey Gorbachev, Nadezhda Gorbacheva:
Boundary consensus control strategies for fractional-order multi-agent systems with reaction-diffusion terms. Inf. Sci. 616: 461-473 (2022) - [j1]Ping Liu
, Iakov Korovin, Sergey Gorbachev, Nadezhda Gorbacheva, Jinde Cao
:
Multi-agent based optimal equilibrium selection with resilience constraints for traffic flow. Neural Networks 155: 308-317 (2022) - 2021
- [c33]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Iakov Korovin, Diego Oliva:
RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks. EvoApplications 2021: 407-420 - [c32]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram:
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. SMC 2021: 176-181 - [c31]Ehsan Bojnordi, Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Iakov Korovin:
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. SSCI 2021: 1-6 - [c30]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Iakov Korovin, Diego Oliva
, Mahshid Helali Moghadam, Mehrdad Saadatmand:
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. SSCI 2021: 1-7 - [i3]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram:
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. CoRR abs/2109.09351 (2021) - [i2]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand:
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. CoRR abs/2111.10188 (2021) - [i1]Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. CoRR abs/2111.10676 (2021) - 2020
- [c29]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Leila Esmaeili, Iakov Korovin:
On Improvements of the Human Mental Search Algorithm for Global Optimisation. CEC 2020: 1-8 - [c28]Eduard V. Melnik, Iakov S. Korovin, Anna B. Klimenko
:
The Improvement of the Stylometry-Based Cognitive Assistant Performance in Conditions of Big Data Analysis. CSOC (3) 2020: 85-99 - [c27]Iakov Korovin
, Donat Ivanov
:
Human Pose Estimation Applying ANN While RGB-D Cameras Video Handling. CSOC (2) 2020: 573-585 - [c26]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Iakov Korovin:
Effective image clustering using self-organizing migrating algorithm. GECCO Companion 2020: 279-280 - [c25]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Seyed Mohammad Jafar Jalali
, Iakov Korovin:
A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training. GECCO Companion 2020: 1402-1408 - [c24]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Iakov Korovin:
Colour quantisation using self-organizing migrating algorithm. GECCO Companion 2020: 1448-1453 - [c23]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Iakov Korovin:
High-dimensional multi-level image thresholding using self-organizing migrating algorithm. GECCO Companion 2020: 1454-1459 - [c22]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Zahra Movahedi, Iakov Korovin:
High-dimensional multi-level maximum variance threshold selection for image segmentation: a benchmark of recent population-based metaheuristic algorithms. GECCO Companion 2020: 1608-1613 - [c21]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Iakov Korovin:
An Effective Approach for Neural Network Training Based on Comprehensive Learning. ICPR 2020: 8774-8781 - [c20]Oussama Kadri, Zine-Eddine Baarir, Gerald Schaefer, Iakov Korovin:
Colour Image Denoising using Curvelets and Scale Dependent Shrinkage. SMC 2020: 2072-2077 - [c19]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Hossein Ebrahimpour-Komleh, Iakov Korovin:
A Novel Image Segmentation Based on Clustering and Population-Based Optimisation. ICSI 2020: 117-129 - [c18]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Hui Fang
, Xiyao Liu, Iakov Korovin:
Colour Quantisation by Human Mental Search. ICSI 2020: 130-141 - [c17]Jakub Holewik, Gerald Schaefer, Iakov Korovin:
Imbalanced Ensemble Learning for Enhanced Pulsar Identification. ICSI 2020: 515-524
2010 – 2019
- 2019
- [c16]Eduard Melnik, Iakov Korovin
, Anna Klimenko
:
A Cognitive Assistant Functional Model and Architecture for the Social Media Victim Behavior Prevention. CSOC (2) 2019: 51-61 - [c15]Iakov Korovin, Maxim Khisamutdinov:
Explaining Neural Network Output Using Evolutionary Calculations. EBEE 2019: 11-14 - [c14]Iakov S. Korovin, Donat Ya. Ivanov, Sergei A. Semenistyi
:
The Method of Organizing a Service-oriented User Interface for Multi-agent Information and Control Systems. ICBRA 2019: 152-156 - [c13]Iakov Korovin
, Maxim Khisamutdinov, Donat Ivanov:
Methods of Neural Network Analysis of Oilfield Data. ICCAI 2019: 49-54 - [c12]Iakov Korovin, Maxim Khisamutdinov:
Obtaining a noise-free image based on an analysis of an unstabilized video sequence under conditions of a probable optical flow failure. ICMV 2019: 114332P - [c11]Iakov Korovin
, Eduard Melnik, Anna Klimenko
:
The Fog-Computing Based Reliability Enhancement in the Robot Swarm. ICR 2019: 161-169 - [c10]Seyed Jalaleddin Mousavirad
, Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh
, Gerald Schaefer, Iakov Korovin
:
An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks. ISNN (1) 2019: 309-317 - [c9]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Iakov Korovin
:
A Global-Best Guided Human Mental Search Algorithm with Random Clustering Strategy. SMC 2019: 3174-3179 - 2018
- [c8]Iakov Korovin
, Maxim Khisamutdinov, Donat Ivanov
:
A Basic Algorithm of a Target Environment Analyzer. ICAAI 2018: 7-11 - [c7]Iakov Korovin
, Maxim Khisamutdinov, Donat Ivanov
:
Improvement of a Video Sequence Singular Image. ICAAI 2018: 12-15 - 2017
- [c6]Eduard Melnik
, Iakov Korovin
, Anna Klimenko
:
Improving Dependability of Reconfigurable Robotic Control System. ICR 2017: 144-152 - 2016
- [c5]Iakov Korovin
, Eduard Melnik
, Anna Klimenko
:
A Recovery Method for the Robotic Decentralized Control System with Performance Redundancy. ICR 2016: 9-17 - [c4]Igor A. Kalyaev, Anatoly Kalyaev
, Iakov Korovin
:
Decentralized Approach to Control of Robot Groups During Execution of the Task Flow. ICR 2016: 48-54 - [c3]Aboul Ella Hassanien, Mohamed Abd Elfattah
, Sherihan Aboulenin, Gerald Schaefer, Shao Ying Zhu, Iakov Korovin
:
Historic handwritten manuscript binarisation using whale optimisation. SMC 2016: 3842-3846 - [c2]Mohamed Torky, Ramadan Babers, Ragia A. Ibrahim, Aboul Ella Hassanien, Gerald Schaefer, Iakov Korovin
, Shao Ying Zhu:
Credibility investigation of newsworthy tweets using a visualising Petri net model. SMC 2016: 3894-3898 - [c1]Gerald Schaefer, Niraj P. Doshi, Iakov Korovin
, Shao Ying Zhu:
Classifying HEp-2 cells in immunofluorescence images using multiple kernel learning. SMC 2016: 4466-4470
Coauthor Index

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last updated on 2025-01-21 00:05 CET by the dblp team
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