Abhishek Kumar

Orcid: 0000-0002-8783-5128

Affiliations:
  • Kyungpook National University, Daegu, South Korea
  • Indian Institute of Technology (BHU), Department of Electrical Engineering, Varanasi, India (PhD 2019)


According to our database1, Abhishek Kumar authored at least 35 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Enhancing clustering representations with positive proximity and cluster dispersion learning.
Inf. Sci., 2025

Deep scene understanding with extended text description for human object interaction detection.
Expert Syst. Appl., 2025

2024
Robust unsupervised domain adaptation by retaining confident entropy via edge concatenation.
Expert Syst. Appl., March, 2024

An Efficient Differential Grouping Algorithm for Large-Scale Global Optimization.
IEEE Trans. Evol. Comput., February, 2024

RSSGLT: Remote Sensing Image Segmentation Network Based on Global-Local Transformer.
IEEE Geosci. Remote. Sens. Lett., 2024

Covariance matrix adaptation evolution strategy based on correlated evolution paths with application to reinforcement learning.
Expert Syst. Appl., 2024

High-density cluster core-based k-means clustering with an unknown number of clusters.
Appl. Soft Comput., 2024

2023
Spherical search with epsilon constraint and gradient-based repair framework for constrained optimization.
Swarm Evol. Comput., October, 2023

Three-Level Hierarchical Management of Active Distribution System With Multimicrogrid.
IEEE Syst. J., March, 2023

Spherical Search based constrained optimization algorithm for power flow analysis of islanded microgrids.
Appl. Soft Comput., March, 2023

Self-Adaptive Spherical Search With a Low-Precision Projection Matrix for Real-World Optimization.
IEEE Trans. Cybern., 2023

Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests.
Swarm Evol. Comput., 2023

CMA-ES with exponential based multiplicative covariance matrix adaptation for global optimization.
Swarm Evol. Comput., 2023

UAVSNet: An Encoder-Decoder Architecture based UAV Image Segmentation Network.
CoRR, 2023

Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning.
CoRR, 2023

Encoder-Decoder based Segmentation Model for UAV Street Scene Images.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A υ-Constrained Matrix Adaptation Evolution Strategy With Broyden-Based Mutation for Constrained Optimization.
IEEE Trans. Cybern., 2022

A Reference Vector-Based Simplified Covariance Matrix Adaptation Evolution Strategy for Constrained Global Optimization.
IEEE Trans. Cybern., 2022

Differential evolution with orthogonal array-based initialization and a novel selection strategy.
Swarm Evol. Comput., 2022

Improved spherical search with local distribution induced self-adaptation for hard non-convex optimization with and without constraints.
Inf. Sci., 2022

Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers.
CoRR, 2022

GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CSS-A Cheap-Surrogate-Based Selection Operator for Multi-objective Optimization.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022

2021
An Inversion-Free Robust Power-Flow Algorithm for Microgrids.
IEEE Trans. Smart Grid, 2021

A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results.
Swarm Evol. Comput., 2021

Power Flow Analysis of Islanded Microgrids: A Differential Evolution Approach.
IEEE Access, 2021

2020
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results.
Swarm Evol. Comput., 2020

A self-adaptive spherical search algorithm for real-world constrained optimization problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A modified covariance matrix adaptation evolution strategy for real-world constrained optimization problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Intelligent fuzzy rough set based feature selection using swarm algorithms with improved initialization.
J. Intell. Fuzzy Syst., 2019

The spherical search algorithm for bound-constrained global optimization problems.
Appl. Soft Comput., 2019

Testing A Multi-Operator based Differential Evolution Algorithm on the 100-Digit Challenge for Single Objective Numerical Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2017
Improving the local search capability of Effective Butterfly Optimizer using Covariance Matrix Adapted Retreat Phase.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2015
A new Initial Centroid finding Method based on Dissimilarity Tree for K-means Algorithm.
CoRR, 2015


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