Abhishek Kumar
Orcid: 0000-0002-8783-5128Affiliations:
- 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 32 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Robust unsupervised domain adaptation by retaining confident entropy via edge concatenation.
Expert Syst. Appl., March, 2024
IEEE Trans. Evol. Comput., February, 2024
IEEE Geosci. Remote. Sens. Lett., 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
Enhancing Clustering Representations with Positive Proximity and Cluster Dispersion Learning.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Consumer Electronics, 2023
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
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022
2021
IEEE Trans. Smart Grid, 2021
A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results.
Swarm Evol. Comput., 2021
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
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