Abhishek Kumar

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

Top Topics

Evolution Strategy

Covariance Matrix

Constrained Optimization

Top Venues

Swarm Evol. Comput.

Appl. Soft Comput.

Expert Syst. Appl.

Publications

Hye-Seong Hong, Abhishek Kumar, Dong-Gyu Lee
Robust unsupervised domain adaptation by retaining confident entropy via edge concatenation. Expert Syst. Appl. 238 (Part E) (2024)
Satyawant Kumar, Abhishek Kumar, Dong-Gyu Lee
RSSGLT: Remote Sensing Image Segmentation Network Based on Global-Local Transformer. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Abhimanyu Kumar, Abhishek Kumar, Rammohan Mallipeddi, Dong-Gyu Lee
High-density cluster core-based k-means clustering with an unknown number of clusters. Appl. Soft Comput. 155 (2024)
Oladayo S. Ajani, Abhishek Kumar, Rammohan Mallipeddi
Covariance matrix adaptation evolution strategy based on correlated evolution paths with application to reinforcement learning. Expert Syst. Appl. 246 (2024)
Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi
An Efficient Differential Grouping Algorithm for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 28 (1) (2024)
Bishal Karmakar, Abhishek Kumar, Rammohan Mallipeddi, Dong-Gyu Lee
CMA-ES with exponential based multiplicative covariance matrix adaptation for global optimization. Swarm Evol. Comput. 79 (2023)
Abhishek Kumar, Swagatam Das, Lingping Kong, Václav Snásel
Self-Adaptive Spherical Search With a Low-Precision Projection Matrix for Real-World Optimization. IEEE Trans. Cybern. 53 (7) (2023)
Hye-Seong Hong, Abhishek Kumar, Dong-Gyu Lee
Robust Unsupervised Domain Adaptation by Retaining Confident Entropy via Edge Concatenation. CoRR (2023)
Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi
UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering. AAAI (2023)
Abhishek Kumar, Bablesh Kumar Jha, Swagatam Das, Rammohan Mallipeddi
Spherical Search based constrained optimization algorithm for power flow analysis of islanded microgrids. Appl. Soft Comput. 136 (2023)
Abhishek Kumar, Dong-Gyu Lee
Enhancing Clustering Representations with Positive Proximity and Cluster Dispersion Learning. CoRR (2023)
Zhuji Yang, Abhishek Kumar, Rammohan Mallipeddi, Dong-Gyu Lee
Spherical search with epsilon constraint and gradient-based repair framework for constrained optimization. Swarm Evol. Comput. 82 (2023)
Amit Singh, Basant Kumar Sethi, Abhishek Kumar, Devender Singh, Rakesh Kumar Misra
Three-Level Hierarchical Management of Active Distribution System With Multimicrogrid. IEEE Syst. J. 17 (1) (2023)
Kenneth V. Price, Abhishek Kumar, Ponnuthurai N. Suganthan
Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests. Swarm Evol. Comput. 78 (2023)
Lingping Kong, Abhishek Kumar, Václav Snásel, Swagatam Das, Pavel Krömer, Varun Ojha
CSS-A Cheap-Surrogate-Based Selection Operator for Multi-objective Optimization. BIOMA (2022)
Abhishek Kumar, Swagatam Das, Václav Snásel
Improved spherical search with local distribution induced self-adaptation for hard non-convex optimization with and without constraints. Inf. Sci. 615 (2022)
Kenneth V. Price, Abhishek Kumar, Ponnuthurai N. Suganthan
Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers. CoRR (2022)