G. Jeyakumar
Orcid: 0000-0002-5501-2338Affiliations:
- Amrita Vishwa Vidyapeetham University, Coimbatore, India
According to our database1,
G. Jeyakumar
authored at least 34 papers
between 2009 and 2025.
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Bibliography
2025
2024
E-procurement optimization in supply chain: A dynamic approach using evolutionary algorithms.
Expert Syst. Appl., 2024
Optimizing Sentiment Analysis on Twitter: Leveraging Hybrid Deep Learning Models for Enhanced Efficiency.
Proceedings of the Distributed Computing and Intelligent Technology, 2024
2023
A Hybrid Multi-Population Reinitialization Strategy to Tackle Dynamic Optimization Problems.
IEEE Access, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
A Comprehensive Study of Web Phishing Detection Using Machine and Deep Learning Architecture.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Assessing the Efficacy of Symbolic Regression for Scientific Data Classification and Regression.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
EvoPrunerPool: An Evolutionary Pruner using Pruner Pool for Compressing Convolutional Neural Networks.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Modified Discrete Differential Evolution with Neighborhood Approach for Grayscale Image Enhancement.
Proceedings of the Smart Computer Vision, 2023
2022
Heterogeneous mixing of dynamic differential evolution variants in distributed frame work for global optimisation problems.
Int. J. Adv. Intell. Paradigms, 2022
2021
Decoding of graphically encoded numerical digits using deep learning and edge detection techniques.
J. Intell. Fuzzy Syst., 2021
Empirical investigations on evolution strategies to self-adapt the mutation and crossover parameters of differential evolution algorithm.
Int. J. Intell. Syst. Technol. Appl., 2021
Investigating the population dynamics of differential evolution algorithm for solving multi-objective <i>RFID</i> reader placement problem.
Int. J. Intell. Syst. Technol. Appl., 2021
2020
Improving the search efficiency of differential evolution algorithm by population diversity analysis and adaptation of mutation step sizes.
Int. J. Adv. Intell. Paradigms, 2020
2019
Hybrid feature selection using micro genetic algorithm on microarray gene expression data.
J. Intell. Fuzzy Syst., 2019
Int. J. Inf. Syst. Supply Chain Manag., 2019
An Empirical Analysis of Genetic Algorithm with Different Mutation and Crossover Operators for Solving Sudoku.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019
Analytical Study and Empirical Validations on the Impact of Scale Factor Parameter of Differential Evolution Algorithm.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019
2018
Algorithmic Approaches for Solving RFID Reader Positioning Problem with Simulated and Real-time Experimental Setups.
Proceedings of the 2018 International Conference on Advances in Computing, 2018
Empirical Evidences to Validate the Performance of Self-Switching Base Vector Based Mutation of Differential Evolution Algorithm.
Proceedings of the 2018 International Conference on Advances in Computing, 2018
Solving Multi-Objective Optimization Problems using Differential Evolution Algorithm with Different Population Initialization Techniques.
Proceedings of the 2018 International Conference on Advances in Computing, 2018
2017
An optimization framework for solving RFID reader placement problem using greedy approach.
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Proceedings of the 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems, 2017
2014
Distributed heterogeneous mixing of differential and dynamic differential evolution variants for unconstrained global optimization.
Soft Comput., 2014
2013
Distributed mixed variant differential evolution algorithms for unconstrained global optimization.
Memetic Comput., 2013
2011
Int. J. Appl. Evol. Comput., 2011
Convergence Analysis of Differential Evolution Variants on Unconstrained Global Optimization Functions
CoRR, 2011
2010
Analyzing the Explorative Power of Differential Evolution Variants on Different Classes of Problems.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010
Empirical Study on Migration Topologies and Migration Policies for Island Based Distributed Differential Evolution Variants.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010
A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010
2009
A Comparative Performance Analysis of Multiple Trial Vectors Differential Evolution and Classical Differential Evolution Variants.
Proceedings of the Rough Sets, 2009
An Empirical Comparison of Differential Evolution Variants on Different Classes of unconstrained Global Optimization Problems.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
A Comparative Performance Analysis of Differential Evolution and Dynamic Differential Evolution Variants.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009