Vikas Palakonda

According to our database, Vikas Palakonda authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OCR-Diff: A Two-Stage Deep Learning Framework for Optical Character Recognition Using Diffusion Model in Industrial Internet of Things.

Chaewon Park, Vikas Palakonda, Sangseok Yun, Il-Min Kim, Jae-Mo Kang

IEEE Internet Things J., 2024

RandMixAugment: A Novel Unified Technique for Region- and Image-Level Data Augmentations.

Yosoeb Shin, Vikas Palakonda, Sangseok Yun, Il-Min Kim, Seon-Gon Kim, Sang-Mi Park, Jae-Mo Kang

IEEE Access, 2024

Clustering-Aided Grid-Based One-to-One Selection-Driven Evolutionary Algorithm for Multi/Many-Objective Optimization.

Vikas Palakonda, Jae-Mo Kang, Heechul Jung

IEEE Access, 2024

Benchmarking Real-World Many-Objective Problems: A Problem Suite With Baseline Results.

Vikas Palakonda, Jae-Mo Kang, Heechul Jung

IEEE Access, 2024

2023

Erratum to "Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization".

Vikas Palakonda, Jae-Mo Kang

IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization.

Vikas Palakonda, Jae-Mo Kang

IEEE Trans. Syst. Man Cybern. Syst., December, 2023

An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering.

Vikas Palakonda, Jae-Mo Kang, Heechul Jung

Expert Syst. Appl., October, 2023

Many-Objective Real-World Engineering Problems: A Comparative Study of State-of-the-Art Algorithms.

Vikas Palakonda, Jae-Mo Kang

IEEE Access, 2023

2022

An adaptive neighborhood based evolutionary algorithm with pivot- solution based selection for multi- and many-objective optimization.

Vikas Palakonda, Jae-Mo Kang, Heechul Jung

Inf. Sci., 2022

2021

An ensemble approach with external archive for multi- and many-objective optimization with adaptive mating mechanism and two-level environmental selection.

Vikas Palakonda, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan

Inf. Sci., 2021

An Generational SDE based Indicator for Multi and Many-objective optimization.

Jamshid Yusupov, Vikas Palakonda, Samira Ghorbanpour, Rammohan Mallipeddi, Kalyana Chakravarthy Veluvolu

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2021

Multi-objective Evolutionary Algorithm based on Ensemble of Initializations for Overlapping Community Detection.

Jamshid Yusupov, Vikas Palakonda, Rammohan Mallipeddi, Kalyana Chakravarthy Veluvolu

Proceedings of the International Conference on Electronics, Information, and Communication, 2021

2020

An Evolutionary Algorithm for Multi and Many-Objective Optimization With Adaptive Mating and Environmental Selection.

Vikas Palakonda, Rammohan Mallipeddi

IEEE Access, 2020

2019

MOEA with Approximate Nondominated Sorting Based on Sum of Normalized Objectives.

Vikas Palakonda, Rammohan Mallipeddi

Proceedings of the Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing, 2019

Differential Evolutionary (DE) Based Interactive Recoloring Based on YUV Based Edge Detection for Interior Design.

Fitria Wulandari Ramlan, Vikas Palakonda, Rammohan Mallipeddi

Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

KnEA with Ensemble Approach for Parameter Selection for Many-Objective Optimization.

Vikas Palakonda, Rammohan Mallipeddi

Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018

Pareto Dominance-based MOEA with Multiple Ranking methods for Many-objective Optimization.

Vikas Palakonda, Samira Ghorbanpour, Rammohan Mallipeddi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Ensemble of Pareto-based Selections for Many-objective optimization.

Samira Ghorbanpour, Vikas Palakonda, Rammohan Mallipeddi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Differential Evolution with Stochastic Selection for Uncertain Environments: A Smart Grid Application.

Vikas Palakonda, Noor H. Awad, Rammohan Mallipeddi, Mostafa Z. Ali, Kalyana C. Veluvolu, Ponnuthurai N. Suganthan

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Pareto Dominance-Based Algorithms With Ranking Methods for Many-Objective Optimization.

Vikas Palakonda, Rammohan Mallipeddi

IEEE Access, 2017

Nondominated sorting based on sum of objectives.

Vikas Palakonda, Trinadh Pamulapati, Rammohan Mallipeddi, Partha P. Biswas, Kalyana Chakravarthy Veluvolu

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Rank-Based Nondomination Set Identification with Preprocessing.

Vikas Palakonda, Rammohan Mallipeddi

Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016