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ORCIDG. Jeyakumar 0001
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- affiliation: Amrita Vishwa Vidyapeetham University, Coimbatore, India
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Journal Articles
- 2023
[j11]S. Raghul
, G. Jeyakumar:
A Hybrid Multi-Population Reinitialization Strategy to Tackle Dynamic Optimization Problems. IEEE Access 11: 114270-114282 (2023)- 2022
- [j10]G. Jeyakumar, C. Shunmuga Velaytham:
Heterogeneous mixing of dynamic differential evolution variants in distributed frame work for global optimisation problems. Int. J. Adv. Intell. Paradigms 22(3/4): 318-335 (2022) - 2021
- [j9]K. Devika, G. Jeyakumar:
Investigating the population dynamics of differential evolution algorithm for solving multi-objective RFID reader placement problem. Int. J. Intell. Syst. Technol. Appl. 20(2): 82-102 (2021) - [j8]Dhanya M. Dhanalakshmy, G. Jeyakumar, C. Shunmuga Velayutham:
Empirical investigations on evolution strategies to self-adapt the mutation and crossover parameters of differential evolution algorithm. Int. J. Intell. Syst. Technol. Appl. 20(2): 103-125 (2021) - [j7]P. V. S. M. S. Kartik, Konjeti B. V. N. S. Sumanth, V. N. V. Sri Ram, G. Jeyakumar:
Decoding of graphically encoded numerical digits using deep learning and edge detection techniques. J. Intell. Fuzzy Syst. 41(5): 5367-5374 (2021) - 2020
- [j6]Dhanya M. Dhanalakshmy, M. S. Akhila, C. R. Vidhya, G. Jeyakumar:
Improving the search efficiency of differential evolution algorithm by population diversity analysis and adaptation of mutation step sizes. Int. J. Adv. Intell. Paradigms 15(2): 119-145 (2020) - 2019
- [j5]A. Sruthi, S. P. Anbuudayasankar, G. Jeyakumar:
Energy-Efficient Green Vehicle Routing Problem. Int. J. Inf. Syst. Supply Chain Manag. 12(4): 27-41 (2019) - [j4]C. Pragadeesh, Rohana Jeyaraj, K. Siranjeevi, R. Abishek, G. Jeyakumar:
Hybrid feature selection using micro genetic algorithm on microarray gene expression data. J. Intell. Fuzzy Syst. 36(3): 2241-2246 (2019) - 2014
- [j3]G. Jeyakumar, C. Shunmuga Velayutham:
Distributed heterogeneous mixing of differential and dynamic differential evolution variants for unconstrained global optimization. Soft Comput. 18(10): 1949-1965 (2014) - 2013
- [j2]G. Jeyakumar, C. Shunmuga Velayutham:
Distributed mixed variant differential evolution algorithms for unconstrained global optimization. Memetic Comput. 5(4): 275-293 (2013) - 2011
- [j1]G. Jeyakumar, C. Shanmuga Velayutham:
Experimental Study on Recent Advances in Differential Evolution Algorithm. Int. J. Appl. Evol. Comput. 2(2): 58-81 (2011)
Conference and Workshop Papers
- 2024
- [c19]Gadde Ashok, N. Ruthvik, G. Jeyakumar:
Optimizing Sentiment Analysis on Twitter: Leveraging Hybrid Deep Learning Models for Enhanced Efficiency. ICDCIT 2024: 179-192 - 2023
- [c18]C. Shunmuga Velayutham, Sujit Subramanian S, Arvindram K, Madhusoodhan Sathya, Nathiyaa Sengodan, Divesh Kosuri, Sai Satvik Arvapalli, Thangavelu S, Jeyakumar Gurusamy:
EvoPrunerPool: An Evolutionary Pruner using Pruner Pool for Compressing Convolutional Neural Networks. GECCO Companion 2023: 2136-2143 - [c17]Prakash D, Lavanya G, G. Jeyakumar:
Analysis of Shortest Routing and Waiting Time of Electric Vehicle Charging Stations. ICCCNT 2023: 1-6 - [c16]Pradhumna Guruprasad, Shreyas Nagesh, Aditya N. Sampath, Salai Sanjay S, G. Jeyakumar:
Assessing the Efficacy of Symbolic Regression for Scientific Data Classification and Regression. ICCCNT 2023: 1-6 - [c15]N. Prabhu, Senthil Kumar T, G. Jeyakumar:
A Comprehensive Study of Web Phishing Detection Using Machine and Deep Learning Architecture. ICCCNT 2023: 1-14 - [c14]Ashwin R, Ilamparithi Yaazharasu CR, Pavan Teja Ramana, Paladugu Shilpa, G. Jeyakumar:
Optimal Ship Route Search Based on Multi-Objective Genetic Algorithm. ICCCNT 2023: 1-5 - 2019
- [c13]Dhanya M. Dhanalakshmy, G. Jeyakumar, C. Shunmuga Velayutham:
Analytical Study and Empirical Validations on the Impact of Scale Factor Parameter of Differential Evolution Algorithm. PReMI (1) 2019: 328-336 - [c12]D. Srivatsa, T. P. V. Krishna Teja, Ilam Prathyusha, G. Jeyakumar:
An Empirical Analysis of Genetic Algorithm with Different Mutation and Crossover Operators for Solving Sudoku. PReMI (1) 2019: 356-364 - 2018
- [c11]K. Devika, G. Jeyakumar:
Solving Multi-Objective Optimization Problems using Differential Evolution Algorithm with Different Population Initialization Techniques. ICACCI 2018: 1-5 - [c10]G. Jeyakumar, Rubini Nagarajan:
Algorithmic Approaches for Solving RFID Reader Positioning Problem with Simulated and Real-time Experimental Setups. ICACCI 2018: 1383-1387 - [c9]K. Gokul, R. Pooja, G. Jeyakumar:
Empirical Evidences to Validate the Performance of Self-Switching Base Vector Based Mutation of Differential Evolution Algorithm. ICACCI 2018: 2213-2218 - 2017
- [c8]Shilpa Raju, G. Jeyakumar, Arup Mukherji, Jignesh K. Thanki:
Time synchronized diagnostic event data recording based on AUTOSAR. ANTS 2017: 1-6 - [c7]N. Rubini, ChambuliVenkata Prasanthi, S. Subanidha, Thota Naga Sai Vamsi, G. Jeyakumar:
An optimization framework for solving RFID reader placement problem using greedy approach. ICACCI 2017: 900-905 - 2010
- [c6]G. Jeyakumar, C. Shunmuga Velayutham:
A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants. SEAL 2010: 75-79 - [c5]G. Jeyakumar, C. Shunmuga Velayutham:
Empirical Study on Migration Topologies and Migration Policies for Island Based Distributed Differential Evolution Variants. SEMCCO 2010: 29-37 - [c4]G. Jeyakumar, C. Shanmuga Velayutham:
Analyzing the Explorative Power of Differential Evolution Variants on Different Classes of Problems. SEMCCO 2010: 95-102 - 2009
- [c3]G. Jeyakumar, C. Shunmuga Velayutham:
A Comparative Performance Analysis of Differential Evolution and Dynamic Differential Evolution Variants. NaBIC 2009: 463-468 - [c2]G. Jeyakumar, C. Shunmuga Velayutham:
An Empirical Comparison of Differential Evolution Variants on Different Classes of unconstrained Global Optimization Problems. NaBIC 2009: 866-871 - [c1]G. Jeyakumar, C. Shunmuga Velayutham:
A Comparative Performance Analysis of Multiple Trial Vectors Differential Evolution and Classical Differential Evolution Variants. RSFDGrC 2009: 470-477
Parts in Books or Collections
- 2023
- [p1]Anisha Radhakrishnan, G. Jeyakumar:
Modified Discrete Differential Evolution with Neighborhood Approach for Grayscale Image Enhancement. Smart Computer Vision 2023: 307-330
Informal and Other Publications
- 2011
- [i1]G. Jeyakumar, C. Shanmuga Velayutham:
Convergence Analysis of Differential Evolution Variants on Unconstrained Global Optimization Functions. CoRR abs/1105.1901 (2011)
Coauthor Index
aka: C. Shanmuga Velayutham
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