Year : 2021
Differential Evolution with Different Crossover Operators for Solving Unconstrained Global Optimization Algorithms
Cite this Research Publication : K. Harsha Saketh, Sumanth, K. B. V. N. S., Kartik, P. V. S. M. S., Aneeswar, K. S. S., and Dr. Jeyakumar G., “Differential Evolution with Different Crossover Operators for Solving Unconstrained Global Optimization Algorithms”, Image Processing and Capsule Networks, vol. 1200. Springer International Publishing, Cham, pp. 381-388, 2021.
Publisher : Image Processing and Capsule Networks, Springer International Publishing
Year : 2020
A Genetic Algorithm Based System with Different Crossover Operators for Solving the Course Allocation Problem of Universities
Cite this Research Publication : S. Abhishek, Emmanuel, S. Coreya, Rajeshwar, G., and Dr. Jeyakumar G., “A Genetic Algorithm Based System with Different Crossover Operators for Solving the Course Allocation Problem of Universities”, New Trends in Computational Vision and Bio-inspired Computing: Selected works presented at the ICCVBIC 2018, Coimbatore, India. Springer International Publishing, Cham, pp. 149 - 160, 2020.
Publisher : New Trends in Computational Vision and Bio-inspired Computing: Selected works presented at the ICCVBIC 2018,
Year : 2020
Comparison of Dynamic Programming and Genetic Algorithm Approaches for Solving Subset Sum Problems
Cite this Research Publication : K. Harsha Saketh and Dr. Jeyakumar G., “Comparison of Dynamic Programming and Genetic Algorithm Approaches for Solving Subset Sum Problems”, Computational Vision and Bio-Inspired Computing, vol. 1108. Springer International Publishing, Cham, 2020.
Publisher : Computational Vision and Bio-Inspired Computing, Springer International Publishing
Year : 2020
An Evolutionary Algorithmic Framework to Solve Multi-objective Optimization Problems with Variable Length Chromosome Population
Cite this Research Publication : K. Devika and Dr. Jeyakumar G., “An Evolutionary Algorithmic Framework to Solve Multi-objective Optimization Problems with Variable Length Chromosome Population”, Intelligent Computing and Communication, vol. 1034. Springer Singapore, Singapore, pp. 483-493, 2020
Publisher : Intelligent Computing and Communication, Springer Singapore
Year : 2020
Soft Computing Approach to Determine Students’ Level of Comprehension Using a Mamdani Fuzzy System
Cite this Research Publication : U. Subbiah and Dr. Jeyakumar G., “Soft Computing Approach to Determine Students’ Level of Comprehension Using a Mamdani Fuzzy System”, Intelligent Systems, Technologies and Applications, vol. 1148. Springer Singapore, Singapore, 2020.
Publisher : Intelligent Systems, Technologies and Applications, Springer Singapore
Year : 2020
A Deep Learning based System to Predict the Noise (Disturbance) in Audio Files
Cite this Research Publication : K. P. V. S. M. S and Dr. Jeyakumar G., “A Deep Learning based System to Predict the Noise (Disturbance) in Audio Files”, Proceedings of 3rd International Conference on Emerging Current Trends in Computing and Expert Technologies (COMET-2020), Chennai, vol. 37. Advances in Parallel Computing, Intelligent System and Computer Technology, pp. 154-160, 2020.
Publisher : Proceedings of 3rd International Conference on Emerging Current Trends in Computing and Expert Technologies (COMET-2020)
Year : 2020
Performance Enhancement of Differential Evolution Algorithm with Modified Mutation and Crossover Components
Cite this Research Publication : A. M. and Dr. Jeyakumar G., “Performance Enhancement of Differential Evolution Algorithm with Modified Mutation and Crossover Components”, Proceedings of 4th IEEE International Conference on Computing Methodologies and Communication (ICCMC), Erode. pp. 13-20, 2020.
Publisher : Proceedings of 4th IEEE International Conference on Computing Methodologies and Communication (ICCMC),
Year : 2019
A Computer Vision Based Fall Detection Technique for Home Surveillance
Cite this Research Publication : K. Vinaya Sree and Dr. Jeyakumar G., “A Computer Vision Based Fall Detection Technique for Home Surveillance”, In the Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2019 (ISMAC-CVB). Published In: Smys S., Tavares J., Balas V., Iliyasu A. (eds), Advances in Intelligent Systems and Computing, vol. 1108. Springer International Publishing, Cham, 2019.
Publisher : Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2019 (ISMAC-CVB). Published In: Smys S., Tavares J., Balas V., Iliyasu A. (eds), Advances in Intelligent Systems and Computing, Springer International Publishing,
Year : 2019
Analytical Study and Empirical Validations on the Impact of Scale Factor Parameter of Differential Evolution Algorithm
Cite this Research Publication : Dhanya M. Dhanalakshmy, Dr. Jeyakumar G., and C. Velayutham, S., “Analytical Study and Empirical Validations on the Impact of Scale Factor Parameter of Differential Evolution Algorithm”, Pattern Recognition and Machine Intelligence, vol. 11941. Springer International Publishing, Cham, pp. 328-336, 2019.
Publisher : Pattern Recognition and Machine Intelligence, Springer International Publishing
Year : 2017
An Optimization Framework for Solving RFID Reader Placement Problem Using Differential Evolution Algorithm
Cite this Research Publication : N. Rubini, Prasanthi, C. V., Subanidha, S., Dr. Vidhya Balasubramanian, and Dr. Jeyakumar G., “An Optimization Framework for Solving RFID Reader Placement Problem Using Differential Evolution Algorithm”, Communication and Signal Processing (ICCSP), 2017 International Conference on. IEEE, Adiparasakthi College of Engineering, 2017.
Publisher : Communication and Signal Processing
Year : 2016
A Prototype for Student Learning Style Modelling Using Felder-Silverman Learning Style Model
Cite this Research Publication : Dr. Jeyakumar G., K, R., N, P., D, K., and B, A., “A Prototype for Student Learning Style Modelling Using Felder-Silverman Learning Style Model”, International Conference on Smart Structures & Systems (ICSSS-2016). Chennai, India, pp. 178 – 182, 2016.
Publisher : International Conference on Smart Structures & Systems (ICSSS-2016), Chennai, India.
Year : 2015
Theoretical Analysis of Expected Population Variance Evolution for a Differential Evolution Variant
Cite this Research Publication : Dr. Thangavelu S., Dr. Jeyakumar G., Balakrishnan, R. M., and Dr. Shunmuga Velayutham C., “Theoretical Analysis of Expected Population Variance Evolution for a Differential Evolution Variant”, Computational Intelligence in Data Mining (In Smart Innovation, Systems and Technologies), vol. 32. Smart Innovation, Systems and Technologies, Springer, pp. 403–416, 2015.
Publisher : Computational Intelligence in Data Mining (In Smart Innovation, Systems and Technologies)
Year : 2015
Co-operative Co-evolution Based Hybridization of Differential Evolution and Particle Swarm Optimization Algorithms in Distributed Environment
Cite this Research Publication : S. Nambiar and Dr. Jeyakumar G., “Co-operative Co-evolution Based Hybridization of Differential Evolution and Particle Swarm Optimization Algorithms in Distributed Environment”, Emerging Research in Computing, Information, Communication and Applications: ERCICA 2015, vol. 2. Springer India, New Delhi, pp. 175–187, 2015.
Publisher : Emerging Research in Computing, Information, Communication and Applications: ERCICA 2015
Year : 2011
Empirical measurements on the convergence nature of differential evolution variants
Cite this Research Publication : Dr. Jeyakumar G. and Shanmugavelayutham, C., “Empirical measurements on the convergence nature of differential evolution variants”, Advances in Computer Science and Information Technology, vol. 131. Springer, pp. 472–480, 2011.
Publisher : Advances in Computer Science and Information Technology
Year : 2010
Empirical study on migration topologies and migration policies for island based distributed differential evolution variants
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “Empirical study on migration topologies and migration policies for island based distributed differential evolution variants”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6466 LNCS, pp. 29-37, 2010.
Publisher : Lecture Notes in Computer Science
Year : 2010
A comparative study on theoretical and empirical evolution of population variance of differential evolution variants
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “A comparative study on theoretical and empirical evolution of population variance of differential evolution variants”, Simulated Evolution and Learning. Springer, pp. 75–79, 2010.
Publisher : Springer
Year : 2010
Analyzing the Explorative power of Differential Evolution Variants on Different Classes of Problems
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “Analyzing the Explorative power of Differential Evolution Variants on Different Classes of Problems”, Lecture Notes in Computer Science (LNCS-6466), Springer-Verlag, vol. 6466. pp. 95-102, 2010.
Publisher : Springer-Verlag
Year : 2009
An empirical comparison of differential evolution variants on different classes of unconstrained global optimization problems
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “An empirical comparison of differential evolution variants on different classes of unconstrained global optimization problems”, World Congress on Nature & Biologically Inspired Computing, NaBIC. IEEE, Coimbatore, pp. 866-871, 2009.
Publisher : World Congress on Nature & Biologically Inspired Computing, NaBIC, IEEE,
Year : 2009
A comparative performance analysis of multiple trial vectors differential evolution and classical differential evolution variants
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “A comparative performance analysis of multiple trial vectors differential evolution and classical differential evolution variants”, Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. Springer, pp. 470–477, 2009
Publisher : Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Year : 2009
A comparative performance analysis of differential evolution and dynamic differential evolution variants
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “A comparative performance analysis of differential evolution and dynamic differential evolution variants”, Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on. IEEE, Coimbatore, pp. 464-468, 2009.
Publisher : Nature Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on, IEEE
Year : 2005
High Performance Query Processing and Optimization on Parallel Machine
Cite this Research Publication : Dr. Jeyakumar G. and T., S., “High Performance Query Processing and Optimization on Parallel Machine”, Proceedings - National conference on “New Trends in Distributed Computing and Networking, organized by the department of CSE. Tagore Engineering College, Chennai, 2005.
Publisher : Tagore Engineering College, Chennai