Vikas Palakonda

27 papers B 1Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Objective Optimisation Framework for Heterogeneous Federated Learning. CAAI Trans. Intell. Technol. Jamshid Tursunboev, Vikas Palakonda, Il-Min Kim, Sunghwan Moon, Jae-Mo Kang
2025	J	`jnl`	DeCo-MeSC: Deep Compression-Based Memory-Constrained Split Computing Framework for Cooperative Inference of Neural Network. IEEE Trans. Veh. Technol. Mingyu Sung, Vikas Palakonda, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025	J	`jnl`	Memory- and Latency-Constrained Inference of Large Language Models via Adaptive Split Computing. CoRR Mingyu Sung, Vikas Palakonda, Suhwan Im, Sunghwan Moon, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025	J	`jnl`	Metaheuristics for pruning convolutional neural networks: A comparative study. Expert Syst. Appl. Vikas Palakonda, Jamshid Tursunboev, Jae-Mo Kang, Sunghwan Moon
2025	J	`jnl`	Range Asymmetric Numeral Systems-Based Lightweight Intermediate Feature Compression for Split Computing of Deep Neural Networks. CoRR Mingyu Sung, Suhwan Im, Vikas Palakonda, Jae-Mo Kang
2024	J	`jnl`	Benchmarking Real-World Many-Objective Problems: A Problem Suite With Baseline Results. IEEE Access Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2024	J	`jnl`	Clustering-Aided Grid-Based One-to-One Selection-Driven Evolutionary Algorithm for Multi/Many-Objective Optimization. IEEE Access Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2024	J	`jnl`	OCR-Diff: A Two-Stage Deep Learning Framework for Optical Character Recognition Using Diffusion Model in Industrial Internet of Things. IEEE Internet Things J. Chaewon Park, Vikas Palakonda, Sangseok Yun, Il-Min Kim, Jae-Mo Kang
2024	J	`jnl`	RandMixAugment: A Novel Unified Technique for Region- and Image-Level Data Augmentations. IEEE Access Yosoeb Shin, Vikas Palakonda, Sangseok Yun, Il-Min Kim, Seon-Gon Kim, Sang-Mi Park, Jae-Mo Kang
2023	J	`jnl`	An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering. Expert Syst. Appl. Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2023	J	`jnl`	Erratum to "Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization". IEEE Trans. Syst. Man Cybern. Syst. Vikas Palakonda, Jae-Mo Kang
2023	J	`jnl`	Many-Objective Real-World Engineering Problems: A Comparative Study of State-of-the-Art Algorithms. IEEE Access Vikas Palakonda, Jae-Mo Kang
2023	J	`jnl`	Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. Vikas Palakonda, Jae-Mo Kang
2022	J	`jnl`	An adaptive neighborhood based evolutionary algorithm with pivot- solution based selection for multi- and many-objective optimization. Inf. Sci. Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2021	—	`conf`	An Generational SDE based Indicator for Multi and Many-objective optimization. ICAIIC Jamshid Yusupov, Vikas Palakonda, Samira Ghorbanpour, Rammohan Mallipeddi, Kalyana Chakravarthy Veluvolu
2021	J	`jnl`	An ensemble approach with external archive for multi- and many-objective optimization with adaptive mating mechanism and two-level environmental selection. Inf. Sci. Vikas Palakonda, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan
2021	—	`conf`	Multi-objective Evolutionary Algorithm based on Ensemble of Initializations for Overlapping Community Detection. ICEIC Jamshid Yusupov, Vikas Palakonda, Rammohan Mallipeddi, Kalyana Chakravarthy Veluvolu
2020	J	`jnl`	An Evolutionary Algorithm for Multi and Many-Objective Optimization With Adaptive Mating and Environmental Selection. IEEE Access Vikas Palakonda, Rammohan Mallipeddi
2019	—	`conf`	Differential Evolutionary (DE) Based Interactive Recoloring Based on YUV Based Edge Detection for Interior Design. ICTC Fitria Wulandari Ramlan, Vikas Palakonda, Rammohan Mallipeddi
2019	—	`conf`	KnEA with Ensemble Approach for Parameter Selection for Many-Objective Optimization. BIC-TA (1) Vikas Palakonda, Rammohan Mallipeddi
2019	—	`conf`	MOEA with Approximate Nondominated Sorting Based on Sum of Normalized Objectives. SEMCCO/FANCCO Vikas Palakonda, Rammohan Mallipeddi
2018	B	`conf`	Differential Evolution with Stochastic Selection for Uncertain Environments: A Smart Grid Application. CEC Vikas Palakonda, Noor H. Awad, Rammohan Mallipeddi, Mostafa Z. Ali, Kalyana C. Veluvolu, Ponnuthurai N. Suganthan
2018	—	`conf`	Ensemble of Pareto-based Selections for Many-objective optimization. SSCI Samira Ghorbanpour, Vikas Palakonda, Rammohan Mallipeddi
2018	—	`conf`	Pareto Dominance-based MOEA with Multiple Ranking methods for Many-objective Optimization. SSCI Vikas Palakonda, Samira Ghorbanpour, Rammohan Mallipeddi
2017	—	`conf`	Nondominated sorting based on sum of objectives. SSCI Vikas Palakonda, Trinadh Pamulapati, Rammohan Mallipeddi, Partha P. Biswas, Kalyana Chakravarthy Veluvolu
2017	J	`jnl`	Pareto Dominance-Based Algorithms With Ranking Methods for Many-Objective Optimization. IEEE Access Vikas Palakonda, Rammohan Mallipeddi
2016	—	`conf`	Rank-Based Nondomination Set Identification with Preprocessing. ICSI (2) Vikas Palakonda, Rammohan Mallipeddi