C. Shunmuga Velayutham

According to our database, C. Shunmuga Velayutham authored at least 35 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Differential evolution ensemble designer.

Indu M. T., C. Shunmuga Velayutham

Expert Syst. Appl., March, 2024

2023

Evolving malware variants as antigens for antivirus systems.

Ritwik Murali, T. Palanisamy, C. Shunmuga Velayutham

Expert Syst. Appl., September, 2023

A Grammatical Evolution Based Automated Configuration of an Ensemble Differential Evolution Algorithm.

M. T. Indu, C. Shunmuga Velayutham

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

EvoPrunerPool: An Evolutionary Pruner using Pruner Pool for Compressing Convolutional Neural Networks.

C. Shunmuga Velayutham, Sujit Subramanian S, Arvindram K, Madhusoodhan Sathya, Nathiyaa Sengodan, Divesh Kosuri, Sai Satvik Arvapalli, Thangavelu S, Jeyakumar Gurusamy

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

A meta-evolutionary selection of constituents in ensemble differential evolution algorithm.

Indu M. T., C. Shunmuga Velayutham

Expert Syst. Appl., 2022

Adapting novelty towards generating antigens for antivirus systems.

Ritwik Murali, C. Shunmuga Velayutham

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

Empirical investigations on evolution strategies to self-adapt the mutation and crossover parameters of differential evolution algorithm.

Dhanya M. Dhanalakshmy, G. Jeyakumar, C. Shunmuga Velayutham

Int. J. Intell. Syst. Technol. Appl., 2021

2020

A preliminary investigation into automatically evolving computer viruses using evolutionary algorithms.

Ritwik Murali, C. Shunmuga Velayutham

J. Intell. Fuzzy Syst., 2020

Fitness Function Design for Neuroevolution in Goal-Finding Game Environments.

K. Vignesh Kumar, R. Sourav, C. Shunmuga Velayutham, Vidhya Balasubramanian

Proceedings of the Advances in Computational Collective Intelligence, 2020

2019

A Preliminary Investigation on a Graph Model of Differential Evolution Algorithm.

M. T. Indu, K. Somasundaram, C. Shunmuga Velayutham

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.

Dhanya M. Dhanalakshmy, G. Jeyakumar, C. Shunmuga Velayutham

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Introductory Programming Using Non-Textual Modalities - An Empirical Study on Skill Assessment Using Rainfall Problem.

Shanmuga Sundaram Thangavelu, Vibha Rao, C. K. Shyamala, C. Shunmuga Velayutham

Proceedings of the IEEE Global Engineering Education Conference, 2019

T{h}inker for Engaging Learning Experience in Computational Thinking and Programming.

V. Anantha Narayanan, C. K. Shyamala, C. Shunmuga Velayutham

Proceedings of the IEEE Global Engineering Education Conference, 2019

2018

T{h}inker: A Physical Computing Tool Kit for Computational Thinking.

V. Anantha Narayanan, C. K. Shyamala, C. Shunmuga Velayutham

Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies, 2018

2017

Teaching computational thinking to entry-level undergraduate engineering students at Amrita University.

C. K. Shyamala, C. Shunmuga Velayutham, Latha Parameswaran

Proceedings of the 2017 IEEE Global Engineering Education Conference, 2017

2016

Bayesian nonparametric Multiple Instance Regression.

Saravanan Subramanian, Santu Rana, Sunil Gupta, Palaniappan Bagavathi Sivakumar, C. Shunmuga Velayutham, Svetha Venkatesh

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

An investigation on mixing heterogeneous differential evolution variants in a distributed framework.

Shanmuga Sundaram Thangavelu, C. Shunmuga Velayutham

Int. J. Bio Inspired Comput., 2015

2014

Distributed heterogeneous mixing of differential and dynamic differential evolution variants for unconstrained global optimization.

G. Jeyakumar, C. Shunmuga Velayutham

Soft Comput., 2014

Combining Different Differential Evolution Variants in an Island Based Distributed Framework-An Investigation.

Shanmuga Sundaram Thangavelu, C. Shunmuga Velayutham

Proceedings of the Advances in Intelligent Informatics, 2014

2013

Distributed mixed variant differential evolution algorithms for unconstrained global optimization.

G. Jeyakumar, C. Shunmuga Velayutham

Memetic Comput., 2013

2011

Experimental Study on Recent Advances in Differential Evolution Algorithm.

G. Jeyakumar, C. Shanmuga Velayutham

Int. J. Appl. Evol. Comput., 2011

Convergence Analysis of Differential Evolution Variants on Unconstrained Global Optimization Functions

G. Jeyakumar, C. Shanmuga Velayutham

CoRR, 2011

2010

Taguchi Method Based Parametric Study of Generalized Generation Gap Genetic Algorithm Model.

Shanmuga Sundaram Thangavelu, C. Shunmuga Velayutham

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Analyzing the Explorative Power of Differential Evolution Variants on Different Classes of Problems.

G. Jeyakumar, C. Shanmuga Velayutham

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Empirical Study on Migration Topologies and Migration Policies for Island Based Distributed Differential Evolution Variants.

G. Jeyakumar, C. Shunmuga Velayutham

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants.

G. Jeyakumar, C. Shunmuga Velayutham

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.

G. Jeyakumar, C. Shunmuga Velayutham

Proceedings of the Rough Sets, 2009

A Study on Genetic Algorithm based Video Abstraction System.

D. K. Ashwin Raju, C. Shunmuga Velayutham

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

An Empirical Comparison of Differential Evolution Variants on Different Classes of unconstrained Global Optimization Problems.

G. Jeyakumar, C. Shunmuga Velayutham

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

A Comparative Performance Analysis of Differential Evolution and Dynamic Differential Evolution Variants.

G. Jeyakumar, C. Shunmuga Velayutham

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

2005

Asymmetric subsethood-product fuzzy neural inference system (ASuPFuNIS).

C. Shunmuga Velayutham, Satish Kumar

IEEE Trans. Neural Networks, 2005

2004

Differential Evolution Based On-Line Feature Analysis in an Asymmetric Subsethood Product Fuzzy Neural Network.

C. Shunmuga Velayutham, Satish Kumar

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003

Some applications of an asymmetric subsethood product fuzzy neural inference system.

C. Shunmuga Velayutham, Satish Kumar

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2002

Evolvable Subsethood Product Fuzzy Neural Network for Pattern Classification.

C. Shunmuga Velayutham, Satish Kumar, Sandeep Paul

Int. J. Pattern Recognit. Artif. Intell., 2002

Evolutionary Subsethood Product Fuzzy Neural Network.

C. Shunmuga Velayutham, Sandeep Paul, Satish Kumar

Proceedings of the Advances in Soft Computing, 2002