Year : 2020
Improving the search efficiency of differential evolution algorithm by population diversity analysis and adaptation of mutation step sizes
Cite this Research Publication : Dhanya M. Dhanalakshmy, Akhila, M. S., Vidhya, C. R., and Dr. Jeyakumar G., “Improving the search efficiency of differential evolution algorithm by population diversity analysis and adaptation of mutation step sizes”, International Journal of Advanced Intelligence Paradigms, vol. 15, no. 2, p. 119, 2020.
Publisher : International Journal of Advanced Intelligence Paradigms
Year : 2020
An Evolutionary Computing Approach to Solve Object Identification Problem in Image Processing Applications
Cite this Research Publication : K. Sree and Dr. Jeyakumar G., “An Evolutionary Computing Approach to Solve Object Identification Problem in Image Processing Applications”, Journal of Computational and Theoretical Nanoscience, vol. 17, pp. 439-444, 2020.
Publisher : Journal of Computational and Theoretical Nanoscience
Year : 2019
A Video Analytics System for Class Room Surveillance Applications
Cite this Research Publication : S. Ahmed, Krishnnan, N., Ganta, T., and Dr. Jeyakumar G., “A Video Analytics System for Class Room Surveillance Applications”, International Journal of Recent Technology and Engineering (IJRTE), vol. 7, no. 5S3, 2019
Publisher : International Journal of Recent Technology and Engineering (IJRTE)
Year : 2019
Multi-objective evolutionary algorithm based approach for solving rfid reader placement problem using weight-vector approach with opposition-based learning method
Cite this Research Publication : S. S. Shinde, K., D., Dr. Thangavelu S., and Dr. Jeyakumar G., “Multi-objective evolutionary algorithm based approach for solving rfid reader placement problem using weight-vector approach with opposition-based learning method”, International Journal of Recent Technology and Engineering, vol. 7, pp. 177-184, 2019.
Publisher : International Journal of Recent Technology and Engineering
Year : 2019
Crossover-Free Differential Evolution Algorithm to study the impact of Mutation Scale Factor Parameter
Cite this Research Publication : Dhanya M. Dhanalakshmy, Dr. Jeyakumar G., and Velayutham, C., “Crossover-Free Differential Evolution Algorithm to study the impact of Mutation Scale Factor Parameter”, International Journal on Recent Technology and Engineering, vol. 7, pp. 1728-1737, 2019.
Publisher : International Journal on Recent Technology and Engineering
Year : 2019
Heterogeneous Mixing of Dynamic Differential Evolution Variants in Distributed Frame work for Global Optimisation Problems
Cite this Research Publication : Dr. Shunmuga Velayutham C. and Dr. Jeyakumar G., “Heterogeneous Mixing of Dynamic Differential Evolution Variants in Distributed Frame work for Global Optimisation Problems”, International Journal of Advanced Intelligence Paradigms, vol. 1, p. 1, 2019.
Publisher : International Journal of Advanced Intelligence Paradigms
Year : 2019
Energy efficient green vehicle routing problem
Cite this Research Publication : A. Sruthi, Dr. Anbuudayasankar S. P., and Dr. Jeyakumar G., “Energy efficient green vehicle routing problem”, International Journal of Information Systems and Supply Chain Management, vol. 12, no. 4, pp. 27-41, 2019.
Publisher : International Journal of Information Systems and Supply Chain Management,
Year : 2019
Hybrid feature selection using micro genetic algorithm on microarray gene expression data
Cite this Research Publication : C. Pragadeesh, Jeyaraj, R., Siranjeevi, K., Abishek, R., and Dr. Jeyakumar G., “Hybrid feature selection using micro genetic algorithm on microarray gene expression data”, Journal of Intelligent and Fuzzy Systems, vol. 36, pp. 2241-2246, 2019.
Publisher : Journal of Intelligent and Fuzzy Systems
Year : 2018
Universal Automobile Headlight Control Module for High Beam Adaptation during Night Vision Travel an Embedded Design Approach
Cite this Research Publication : Dr. Jeyakumar G. and M. Siva, S., “Universal Automobile Headlight Control Module for High Beam Adaptation during Night Vision Travel an Embedded Design Approach”, International Journal of Reconfigurable and Embedded Systems (IJRES), , vol. 7, no. 1, pp. 34-42, 2018.
Publisher : International Journal of Reconfigurable and Embedded Systems (IJRES),
Year : 2018
Theoretical analysis and empirical comparison of different population initialization techniques for evolutionary algorithms
Cite this Research Publication : D. K. and Dr. Jeyakumar G., “Theoretical Analysis and Empirical Comparison of Different Population Initialization Techniques for Evolutionary Algorithms”, Indonesian Journal of Electrical Engineering and Computer Science, vol. 12, no. 1, pp. 87-94, 2018.
Publisher : Indonesian Journal of Electrical Engineering and Computer Science
Year : 2016
Empirical analysis on the population diversity of the sub-population in distributed differential evolution algorithm
Cite this Research Publication : R. Raghu and Dr. Jeyakumar G., “Empirical analysis on the population diversity of the sub-population in distributed differential evolution algorithm”, In Proceedings of Springer International Conference on Soft Computing Systems, International Journal of Control Theory and Applications, vol. 8, no. 5, pp. 1809-1816, 2016.
Publisher : In Proceedings of Springer International Conference on Soft Computing Systems, International Journal of Control Theory and Applications.
Year : 2016
A Survey on Adaptation Strategies for Mutation and Crossover Rates of Differential Evolution Algorithm
Cite this Research Publication : Dhanya M. Dhanalakshmy, Pranav, P., and Dr. Jeyakumar G., “A Survey on Adaptation Strategies for Mutation and Crossover Rates of Differential Evolution Algorithm”, International Journal on Advanced Science, Engineering and Information Technology (IJASEIT) (Scopus) , vol. 6, no. 5, pp. 613–623, 2016.
Publisher : International Journal on Advanced Science, Engineering and Information Technology (IJASEIT) (Scopus)
Year : 2016
Mathematical Modelling of Migration Process to Measure Population Diversity of Distributed Evolutionary Algorithms
Cite this Research Publication : R. Raghu and Dr. Jeyakumar G., “Mathematical Modelling of Migration Process to Measure Population Diversity of Distributed Evolutionary Algorithms”, Indian Journal of Science and Technology, vol. 9, no. 31, 2016.
Publisher : Indian Journal of Science and Technology.
Year : 2015
RoBaJe – A Simulated Computational Model for Human Memory to Illustrate Encoding and Decoding of Information
Cite this Research Publication : K. .Roshini, .Bavya, B., and Dr. Jeyakumar G., “RoBaJe – A Simulated Computational Model for Human Memory to Illustrate Encoding and Decoding of Information”, International Journal of Applied Engineering Research, Research India Publications, vol. 9, pp. 26957-26970, 2015.
Publisher : International Journal of Applied Engineering Research, Research India Publications
Year : 2015
Population variance based empirical analysis of the behavior of differential evolution variants
Cite this Research Publication : Dr. Thangavelu S., Dr. Jeyakumar G., and Dr. Shunmuga Velayutham C., “Population variance based empirical analysis of the behavior of differential evolution variants”, Applied Mathematical Sciences, vol. 9, pp. 3249-3263, 2015.
Publisher : Applied Mathematical Sciences
Year : 2015
Population diversity measurement methods to analyze the behavior of differential evolution algorithm
Cite this Research Publication : M. S. Akhila, Vidhya, C. R., and Dr. Jeyakumar G., “Population diversity measurement methods to analyze the behavior of differential evolution algorithm”, International Journal of Control Theory and Applications, vol. 8, pp. 1709-1717, 2016.
Publisher : International Journal of Control Theory and Applications, Serials Publications.
Year : 2015
Empirical performance analysis of distributed differential evolution for varying migration topologies
Cite this Research Publication : M. Sanu and Dr. Jeyakumar G., “Empirical performance analysis of distributed differential evolution for varying migration topologies”, International Journal of Applied Engineering Research, vol. 10, pp. 11919-11932, 2015.
Publisher : International Journal of Applied Engineering Research
Year : 2015
Differential evolution with added components for early detection and avoidance of premature convergence in solving unconstrained global optimization problems
Cite this Research Publication : R. R. Reddy and Dr. Jeyakumar G., “Differential evolution with added components for early detection and avoidance of premature convergence in solving unconstrained global optimization problems”, International Journal of Applied Engineering Research, vol. 10, no. 5, pp. 13579-13594, 2015.
Publisher : International Journal of Applied Engineering Research, Research India Publications
Year : 2014
RoBaJe–A Simulated Computational Model for Human Memory to Illustrate Encoding and Decoding of Information
Cite this Research Publication : K. Roshini, Bavya, B., and Dr. Jeyakumar G., “RoBaJe–A Simulated Computational Model for Human Memory to Illustrate Encoding and Decoding of Information”, International Journal of Applied Engineering Research, vol. 9, pp. 26957–26970, 2014.
Publisher : International Journal of Applied Engineering Research
Year : 2014
Learning to identify bad coding practice
Cite this Research Publication : G. K. Deivanayagam, Gayathiri, D., Manikandan, A., Karthik, K. R. Raghul, Dr. Jeyakumar G., and Kriti, N., “Learning to identify bad coding practice”, International Journal of Applied Engineering Research, vol. 9, pp. 6747-6755, 2014.
Publisher : International Journal of Applied Engineering Research
Year : 2013
Distributed mixed variant differential evolution algorithms for unconstrained global optimization
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “Distributed mixed variant differential evolution algorithms for unconstrained global optimization”, Memetic Computing, vol. 5, pp. 275-293, 2013.
Publisher : Memetic Computing
Year : 2013
Distributed heterogeneous mixing of differential and dynamic differential evolution variants for unconstrained global optimization
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “Distributed heterogeneous mixing of differential and dynamic differential evolution variants for unconstrained global optimization”, Soft Computing – Springer, vol. 18, pp. 1949-1965, 2014.
Publisher : Soft Computing
Year : 2012
Differential evolution and dynamic differential evolution variants for unconstrained global optimization – An Empirical Comparative Study
Cite this Research Publication :
Dr. Jeyakumar G. and ShunmugaVelayutham, C., “Differential evolution and dynamic differential evolution variants for unconstrained global optimization – An Empirical Comparative Study”, International Journal of Computers and Applications (IJCA), vol. 34, pp. 135-144, 2012.
Publisher : IJCA
Year : 2012
Differential evolution and dynamic differential evolution variants – An empirical comparative performance analysis
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “Differential evolution and dynamic differential evolution variants - An empirical comparative performance analysis”, International Journal of Computers and Applications, vol. 34, pp. 135-144, 2012.
Publisher : International Journal of Computers and Applications
Year : 2011
Convergence Analysis of Differential Evolution Variants on Unconstrained Global Optimization Functions
Cite this Research Publication : Dr. Jeyakumar G. and Shanmugavelayutham, C., “Convergence Analysis of Differential Evolution Variants on Unconstrained Global Optimization Functions”, Arxiv preprint arXiv:1105.1901, 2011.
Publisher : Arxiv preprint arXiv:1105.1901
Year : 2011
Application of Computer-Aided Music Composition in Music Therapy
Cite this Research Publication : J. Vasudha, Iyshwarya, G., A Selvi, T., Iniyaa, S., and Dr. Jeyakumar G., “Application of Computer-Aided Music Composition in Music Therapy”, International Journal of Innovation, Management and Technology, vol. 2, pp. 55–57, 2011.
Publisher : International Journal of Innovation, Management and Technology
Year : 2010
An empirical performance analysis of differential evolution variants on unconstrained global optimization problems
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “An empirical performance analysis of differential evolution variants on unconstrained global optimization problems”, International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), vol. 2, pp. 77–86, 2010.
Publisher : IJCISIM
Year : 2010
An Empirical Comparative Performance Analysis of Differential Evolution, Distributed and Mixed-Variants Distributed Differential Evolution Variants
Cite this Research Publication : Dr. Jeyakumar G. and ShunmugaVelayutham, C., “An Empirical Comparative Performance Analysis of Differential Evolution, Distributed and Mixed-Variants Distributed Differential Evolution Variants”, International Journal of Computational Intelligence Research, vol. 6, pp. 735–742, 2010.
Publisher : International Journal of Computational Intelligence Research
Year : 2010
Differential Evolution and Dynamic Differential Evolution for High Dimensional Function Optimization – An Empirical Scalability Study
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “Differential Evolution and Dynamic Differential Evolution for High Dimensional Function Optimization – An Empirical Scalability Study”, International Journal of Computer Science and Engineering (IJCSE), vol. 2, pp. 2932-2941, 2010.
Publisher : IJCSE
Year : 2009
Performance and Scalability Analysis of Differential Evolution Variants on a Suite of High Dimensional Benchmark Functions
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “Performance and Scalability Analysis of Differential Evolution Variants on a Suite of High Dimensional Benchmark Functions”, “Mathematical and Computational Models – Recent Trends”, p. Page–No, 2009.
Publisher : “Mathematical and Computational Models – Recent Trends”
Year : 2005
Steady state analysis of a bulk queue with multiple vacations, setup times with N-policy and closedown times
Cite this Research Publication :
Ra Arumuganathan and Jeyakumar, Sb, “Steady state analysis of a bulk queue with multiple vacations, setup times with N-policy and closedown times”, Applied Mathematical Modelling, vol. 29, pp. 972-986, 2005.
Publisher : Applied Mathematical Modelling