Iakov Korovin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Topics

Image Thresholding

Selection Strategy

Differential Evolution

Top Venues

GECCO Companion

Publications

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 (2024)
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 (2024)
Luyao Guo, Iakov Korovin, Sergey Gorbachev, Xinli Shi, Nadezhda Gorbacheva, Jinde Cao
Neurodynamic approaches for multi-agent distributed optimization. Neural Networks 169 (2024)
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 (2023)
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) (2023)
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 (2023)
Xu Yan, 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 (2022)
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 (2022)
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 (2021)
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 (2021)
Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. CoRR (2021)
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)
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)
Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. SSCI (2021)
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)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
Colour quantisation using self-organizing migrating algorithm. GECCO Companion (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
High-dimensional multi-level image thresholding using self-organizing migrating algorithm. GECCO Companion (2020)
Iakov Korovin, Donat Ivanov
Human Pose Estimation Applying ANN While RGB-D Cameras Video Handling. CSOC (2) (2020)
Jakub Holewik, Gerald Schaefer, Iakov Korovin
Imbalanced Ensemble Learning for Enhanced Pulsar Identification. ICSI (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
Effective image clustering using self-organizing migrating algorithm. GECCO Companion (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
An Effective Approach for Neural Network Training Based on Comprehensive Learning. ICPR (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hui Fang, Xiyao Liu, Iakov Korovin
Colour Quantisation by Human Mental Search. ICSI (2020)
Oussama Kadri, Zine-Eddine Baarir, Gerald Schaefer, Iakov Korovin
Colour Image Denoising using Curvelets and Scale Dependent Shrinkage. SMC (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Leila Esmaeili, Iakov Korovin
On Improvements of the Human Mental Search Algorithm for Global Optimisation. CEC (2020)
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)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh, Iakov Korovin
A Novel Image Segmentation Based on Clustering and Population-Based Optimisation. ICSI (2020)
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)
Iakov Korovin, Maxim Khisamutdinov, Donat Ivanov
Methods of Neural Network Analysis of Oilfield Data. ICCAI (2019)
Eduard Melnik, Iakov Korovin, Anna Klimenko
A Cognitive Assistant Functional Model and Architecture for the Social Media Victim Behavior Prevention. CSOC (2) (2019)
Iakov Korovin, Eduard Melnik, Anna Klimenko
The Fog-Computing Based Reliability Enhancement in the Robot Swarm. ICR (2019)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
A Global-Best Guided Human Mental Search Algorithm with Random Clustering Strategy. SMC (2019)
Iakov Korovin, Maxim Khisamutdinov
Explaining Neural Network Output Using Evolutionary Calculations. EBEE (2019)
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)
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)
Iakov Korovin, Maxim Khisamutdinov, Donat Ivanov
Improvement of a Video Sequence Singular Image. ICAAI (2018)
Iakov Korovin, Maxim Khisamutdinov, Donat Ivanov
A Basic Algorithm of a Target Environment Analyzer. ICAAI (2018)
Eduard Melnik, Iakov Korovin, Anna Klimenko
Improving Dependability of Reconfigurable Robotic Control System. ICR (2017)
Aboul Ella Hassanien, Mohamed Abd Elfattah, Sherihan Aboulenin, Gerald Schaefer, Shao Ying Zhu, Iakov Korovin
Historic handwritten manuscript binarisation using whale optimisation. SMC (2016)
Igor A. Kalyaev, Anatoly Kalyaev, Iakov Korovin
Decentralized Approach to Control of Robot Groups During Execution of the Task Flow. ICR (2016)
Iakov Korovin, Eduard Melnik, Anna Klimenko
A Recovery Method for the Robotic Decentralized Control System with Performance Redundancy. ICR (2016)
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)
Gerald Schaefer, Niraj P. Doshi, Iakov Korovin, Shao Ying Zhu
Classifying HEp-2 cells in immunofluorescence images using multiple kernel learning. SMC (2016)