Vikas Palakonda

27 papers B 1Journal 17Unranked 9
YearRankTypeTitle / 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