A new Initial Centroid finding Method based on Dissimilarity Tree for K-means Algorithm. - Abhishek Kumar 010; Suresh Chandra Gupta (CoRR, 2015)

Improving the local search capability of Effective Butterfly Optimizer using Covariance Matrix Adapted Retreat Phase. - Abhishek Kumar 010; Rakesh Kumar Misra; Devender Singh (CEC, 2017)

Testing A Multi-Operator based Differential Evolution Algorithm on the 100-Digit Challenge for Single Objective Numerical Optimization. - Abhishek Kumar 010; Rakesh Kumar Misra; Devender Singh; Swagatam Das (CEC, 2019)

The spherical search algorithm for bound-constrained global optimization problems. - Abhishek Kumar 010; Rakesh Kumar Misra; Devender Singh; Sujeet Mishra; Swagatam Das (Appl. Soft Comput., 2019)

Intelligent fuzzy rough set based feature selection using swarm algorithms with improved initialization. - Tarun Maini; Abhishek Kumar 010; Rakesh Kumar Misra; Devender Singh (J. Intell. Fuzzy Syst., 2019)

A modified covariance matrix adaptation evolution strategy for real-world constrained optimization problems. - Abhishek Kumar 010; Swagatam Das; Ivan Zelinka (GECCO Companion, 2020)

A self-adaptive spherical search algorithm for real-world constrained optimization problems. - Abhishek Kumar 010; Swagatam Das; Ivan Zelinka (GECCO Companion, 2020)

A test-suite of non-convex constrained optimization problems from the real-world and some baseline results. - Abhishek Kumar 010; Guohua Wu 001; Mostafa Z. Ali; Rammohan Mallipeddi; Ponnuthurai Nagaratnam Suganthan; Swagatam Das (Swarm Evol. Comput., 2020)

Power Flow Analysis of Islanded Microgrids: A Differential Evolution Approach. - Abhishek Kumar 010; Bablesh Kumar Jha; Swagatam Das; Rammohan Mallipeddi (IEEE Access, 2021)

A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results. - Abhishek Kumar 010; Guohua Wu 001; Mostafa Z. Ali; Qizhang Luo; Rammohan Mallipeddi; Ponnuthurai Nagaratnam Suganthan; Swagatam Das (Swarm Evol. Comput., 2021)

An Inversion-Free Robust Power-Flow Algorithm for Microgrids. - Abhishek Kumar 010; Swagatam Das; Rammohan Mallipeddi (IEEE Trans. Smart Grid, 2021)

CSS-A Cheap-Surrogate-Based Selection Operator for Multi-objective Optimization. - Lingping Kong 001; Abhishek Kumar 010; Václav Snásel; Swagatam Das; Pavel Krömer; Varun Ojha 001 (BIOMA, 2022)

GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking. - Abhishek Kumar 010; Oladayo S. Ajani; Swagatam Das; Rammohan Mallipeddi (CVPR, 2022)

Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers. - Kenneth V. Price; Abhishek Kumar 010; Ponnuthurai N. Suganthan (CoRR, 2022)

Improved spherical search with local distribution induced self-adaptation for hard non-convex optimization with and without constraints. - Abhishek Kumar 010; Swagatam Das; Václav Snásel (Inf. Sci., 2022)

Differential evolution with orthogonal array-based initialization and a novel selection strategy. - Abhishek Kumar 010; Partha P. Biswas; Ponnuthurai N. Suganthan (Swarm Evol. Comput., 2022)

A Reference Vector-Based Simplified Covariance Matrix Adaptation Evolution Strategy for Constrained Global Optimization. - Abhishek Kumar 010; Swagatam Das; Rammohan Mallipeddi (IEEE Trans. Cybern., 2022)

A υ-Constrained Matrix Adaptation Evolution Strategy With Broyden-Based Mutation for Constrained Optimization. - Abhishek Kumar 010; Swagatam Das; Abhishek Kumar Misra; Devender Singh (IEEE Trans. Cybern., 2022)

UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering. - Abhishek Kumar 010; Swagatam Das; Rammohan Mallipeddi (AAAI, 2023)

Encoder-Decoder based Segmentation Model for UAV Street Scene Images. - Satyawant Kumar; Abhishek Kumar 010; Hye-Seong Hong; Dong-Gyu Lee (ICCE, 2023)

Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning. - Athul Shibu; Abhishek Kumar 010; Heechul Jung; Dong-Gyu Lee (CoRR, 2023)

UAVSNet: An Encoder-Decoder Architecture based UAV Image Segmentation Network. - Satyawant Kumar; Abhishek Kumar 010; Dong-Gyu Lee (CoRR, 2023)

CMA-ES with exponential based multiplicative covariance matrix adaptation for global optimization. - Bishal Karmakar; Abhishek Kumar 010; Rammohan Mallipeddi; Dong-Gyu Lee (Swarm Evol. Comput., 2023)

Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests. - Kenneth V. Price; Abhishek Kumar 010; Ponnuthurai N. Suganthan (Swarm Evol. Comput., 2023)

Self-Adaptive Spherical Search With a Low-Precision Projection Matrix for Real-World Optimization. - Abhishek Kumar 010; Swagatam Das; Lingping Kong 001; Václav Snásel (IEEE Trans. Cybern., 2023)

Spherical Search based constrained optimization algorithm for power flow analysis of islanded microgrids. - Abhishek Kumar 010; Bablesh Kumar Jha; Swagatam Das; Rammohan Mallipeddi (Appl. Soft Comput., 2023)

Three-Level Hierarchical Management of Active Distribution System With Multimicrogrid. - Amit Singh; Basant Kumar Sethi; Abhishek Kumar 010; Devender Singh; Rakesh Kumar Misra (IEEE Syst. J., 2023)

Spherical search with epsilon constraint and gradient-based repair framework for constrained optimization. - Zhuji Yang; Abhishek Kumar 010; Rammohan Mallipeddi; Dong-Gyu Lee (Swarm Evol. Comput., 2023)

High-density cluster core-based k-means clustering with an unknown number of clusters. - Abhimanyu Kumar; Abhishek Kumar 010; Rammohan Mallipeddi; Dong-Gyu Lee (Appl. Soft Comput., 2024)

Covariance matrix adaptation evolution strategy based on correlated evolution paths with application to reinforcement learning. - Oladayo S. Ajani; Abhishek Kumar 010; Rammohan Mallipeddi (Expert Syst. Appl., 2024)

RSSGLT: Remote Sensing Image Segmentation Network Based on Global-Local Transformer. - Satyawant Kumar; Abhishek Kumar 010; Dong-Gyu Lee (IEEE Geosci. Remote. Sens. Lett., 2024)

Enhancing Contrastive Clustering with Negative Pair-guided Regularization. - Abhishek Kumar 010; Anish Chakrabarty; Sankha Subhra Mullick; Swagatam Das (Trans. Mach. Learn. Res., 2024)

An Efficient Differential Grouping Algorithm for Large-Scale Global Optimization. - Abhishek Kumar 010; Swagatam Das; Rammohan Mallipeddi (IEEE Trans. Evol. Comput., 2024)

Robust unsupervised domain adaptation by retaining confident entropy via edge concatenation. - Hye-Seong Hong; Abhishek Kumar 010; Dong-Gyu Lee (Expert Syst. Appl., 2024)

Entropy-weighted medoid shift: An automated clustering algorithm for high-dimensional data. - Abhishek Kumar 010; Oladayo S. Ajani; Swagatam Das; Rammohan Mallipeddi (Appl. Soft Comput., 2025)

Automatic network compression via evolutionary search-guided channel pruning of deep convolutional neural networks. - Abhishek Kumar 010; Athul Shibu; Dong-Gyu Lee (Appl. Soft Comput., 2025)

Deep scene understanding with extended text description for human object interaction detection. - Hye-Seong Hong; Jeong-Cheol Lee; Abhishek Kumar 010; Sangtae Ahn; Dong-Gyu Lee (Expert Syst. Appl., 2025)

Enhancing clustering representations with positive proximity and cluster dispersion learning. - Abhishek Kumar 010; Dong-Gyu Lee (Inf. Sci., 2025)