Convergence Analysis of Differential Evolution Variants on Unconstrained Global Optimization Functions G Jeyakumar, C ShanmugaVelayutham Arxiv preprint arXiv:1105.1901, 2011 | 39* | 2011 |
A comparative performance analysis of Differential Evolution and Dynamic Differential Evolution variants G Jeyakumar, C ShunmugaVelayutham Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress …, 2009 | 30 | 2009 |
Distributed heterogeneous mixing of differential and dynamic differential evolution variants for unconstrained global optimization G Jeyakumar, C Shunmuga Velayutham Soft Computing 18, 1949-1965, 2014 | 29 | 2014 |
Distributed mixed variant differential evolution algorithms for unconstrained global optimization G Jeyakumar, C Shunmuga Velayutham Memetic Computing 5, 275-293, 2013 | 29 | 2013 |
Hybrid feature selection using micro genetic algorithm on microarray gene expression data C Pragadeesh, R Jeyaraj, K Siranjeevi, R Abishek, G Jeyakumar Journal of Intelligent & Fuzzy Systems 36 (3), 2241-2246, 2019 | 27 | 2019 |
A comparative study on machine learning algorithms for predicting the placement information of under graduate students T Aravind, BS Reddy, S Avinash, G Jeyakumar 2019 Third International conference on I-SMAC (IoT in social, mobile …, 2019 | 23 | 2019 |
Energy-efficient green vehicle routing problem A Sruthi, SP Anbuudayasankar, G Jeyakumar International Journal of Information Systems and Supply Chain Management …, 2019 | 22 | 2019 |
A survey on adaptation strategies for mutation and crossover rates of differential evolution algorithm DM Dhanalakshmy, P Pranav, G Jeyakumar International Journal on Advanced Science, Engineering and Information …, 2016 | 21 | 2016 |
Population diversity measurement methods to analyze the behavior of differential evolution algorithm MS Akhila, CR Vidhya, G Jeyakumar International Journal of Control Theory and Applications 8 (5), 1709-1717, 2016 | 17 | 2016 |
Evolutionary algorithm for solving combinatorial optimization—A review A Radhakrishnan, G Jeyakumar Innovations in Computer Science and Engineering: Proceedings of 8th ICICSE …, 2021 | 15 | 2021 |
A video analytics based solution for detecting the attention level of the students in class rooms N Krishnnan, S Ahmed, T Ganta, G Jeyakumar 2020 10th International Conference on Cloud Computing, Data Science …, 2020 | 15 | 2020 |
An Empirical Performance Analysis of Differential Evolution Variants on Unconstrained Global Optimization Problems G Jeyakumar, C ShunmugaVelayutham International Journal of Computer Information Systems and Industrial …, 2010 | 14 | 2010 |
An evolutionary computing approach for solving key frame extraction problem in video analytics KT Abraham, M Ashwin, D Sundar, T Ashoor, G Jeyakumar 2017 International conference on communication and signal processing (ICCSP …, 2017 | 13 | 2017 |
An empirical comparison of Differential Evolution variants on different classes of unconstrained global optimization problems G Jeyakumar, C ShunmugaVelayutham Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress …, 2009 | 13 | 2009 |
An evolutionary computing approach to solve object identification problem in image processing applications KV Sree, G Jeyakumar Journal of Computational and Theoretical Nanoscience 17 (1), 439-444, 2020 | 12 | 2020 |
Multi-objective evolutionary algorithm based approach for solving RFID reader placement problem using weight-vector approach with opposition-based learning method SS Shinde, K Devika, S Thangavelu, G Jeyakumar Int. J. Recent Technol. Eng 7 (5), 177-184, 2019 | 12 | 2019 |
An optimization framework for solving RFID reader placement problem using differential evolution algorithm CV Prashanthi, G Jeyakumar 2017 International Conference on Communication and Signal Processing (ICCSP …, 2017 | 12 | 2017 |
Empirical comparison of different key frame extraction approaches with differential evolution based algorithms KT Abraham, M Ashwin, D Sundar, T Ashoor, G Jeyakumar Intelligent Systems Technologies and Applications, 317-326, 2018 | 11 | 2018 |
Empirical Study on Migration Topologies and Migration Policies for Island Based Distributed Differential Evolution Variants G Jeyakumar, C ShunmugaVelayutham Swarm, Evolutionary, and Memetic Computing, 29-37, 2010 | 11 | 2010 |
An optimization framework for solving RFID reader placement problem using greedy approach N Rubini, CV Prasanthi, S Subanidha, TNS Vamsi, G Jeyakumar 2017 International conference on advances in computing, communications and …, 2017 | 10 | 2017 |