Evolutionary Subsethood Product Fuzzy Neural Network. - C. Shunmuga Velayutham; Sandeep Paul; Satish Kumar (AFSS, 2002)

Evolvable Subsethood Product Fuzzy Neural Network for Pattern Classification. - C. Shunmuga Velayutham; Satish Kumar; Sandeep Paul (Int. J. Pattern Recognit. Artif. Intell., 2002)

Some applications of an asymmetric subsethood product fuzzy neural inference system. - C. Shunmuga Velayutham; Satish Kumar (FUZZ-IEEE, 2003)

Differential Evolution Based On-Line Feature Analysis in an Asymmetric Subsethood Product Fuzzy Neural Network. - C. Shunmuga Velayutham; Satish Kumar (ICONIP, 2004)

Asymmetric subsethood-product fuzzy neural inference system (ASuPFuNIS). - C. Shunmuga Velayutham; Satish Kumar (IEEE Trans. Neural Networks, 2005)

A Comparative Performance Analysis of Differential Evolution and Dynamic Differential Evolution Variants. - G. Jeyakumar 001; C. Shunmuga Velayutham (NaBIC, 2009)

An Empirical Comparison of Differential Evolution Variants on Different Classes of unconstrained Global Optimization Problems. - G. Jeyakumar 001; C. Shunmuga Velayutham (NaBIC, 2009)

A Study on Genetic Algorithm based Video Abstraction System. - D. K. Ashwin Raju; C. Shunmuga Velayutham (NaBIC, 2009)

A Comparative Performance Analysis of Multiple Trial Vectors Differential Evolution and Classical Differential Evolution Variants. - G. Jeyakumar 001; C. Shunmuga Velayutham (RSFDGrC, 2009)

A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants. - G. Jeyakumar 001; C. Shunmuga Velayutham (SEAL, 2010)

Empirical Study on Migration Topologies and Migration Policies for Island Based Distributed Differential Evolution Variants. - G. Jeyakumar 001; C. Shunmuga Velayutham (SEMCCO, 2010)

Analyzing the Explorative Power of Differential Evolution Variants on Different Classes of Problems. - G. Jeyakumar 001; C. Shanmuga Velayutham (SEMCCO, 2010)

Taguchi Method Based Parametric Study of Generalized Generation Gap Genetic Algorithm Model. - Shanmuga Sundaram Thangavelu; C. Shunmuga Velayutham (SEMCCO, 2010)

Convergence Analysis of Differential Evolution Variants on Unconstrained Global Optimization Functions - G. Jeyakumar 001; C. Shanmuga Velayutham (CoRR, 2011)

Experimental Study on Recent Advances in Differential Evolution Algorithm. - G. Jeyakumar 001; C. Shanmuga Velayutham (Int. J. Appl. Evol. Comput., 2011)

Distributed mixed variant differential evolution algorithms for unconstrained global optimization. - G. Jeyakumar 001; C. Shunmuga Velayutham (Memetic Comput., 2013)

Combining Different Differential Evolution Variants in an Island Based Distributed Framework-An Investigation. - Shanmuga Sundaram Thangavelu; C. Shunmuga Velayutham (ISI (1), 2014)

Distributed heterogeneous mixing of differential and dynamic differential evolution variants for unconstrained global optimization. - G. Jeyakumar 001; C. Shunmuga Velayutham (Soft Comput., 2014)

An investigation on mixing heterogeneous differential evolution variants in a distributed framework. - Shanmuga Sundaram Thangavelu; C. Shunmuga Velayutham (Int. J. Bio Inspired Comput., 2015)

Bayesian nonparametric Multiple Instance Regression. - Saravanan Subramanian; Santu Rana; Sunil Gupta 001; Palaniappan Bagavathi Sivakumar; C. Shunmuga Velayutham; Svetha Venkatesh (ICPR, 2016)

Teaching computational thinking to entry-level undergraduate engineering students at Amrita University. - C. K. Shyamala; C. Shunmuga Velayutham; Latha Parameswaran (EDUCON, 2017)

T{h}inker: A Physical Computing Tool Kit for Computational Thinking. - V. Anantha Narayanan; C. K. Shyamala; C. Shunmuga Velayutham (ICALT, 2018)

T{h}inker for Engaging Learning Experience in Computational Thinking and Programming. - V. Anantha Narayanan; C. K. Shyamala; C. Shunmuga Velayutham (EDUCON, 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 (EDUCON, 2019)

Analytical Study and Empirical Validations on the Impact of Scale Factor Parameter of Differential Evolution Algorithm. - Dhanya M. Dhanalakshmy; G. Jeyakumar 001; C. Shunmuga Velayutham (PReMI (1), 2019)

A Preliminary Investigation on a Graph Model of Differential Evolution Algorithm. - M. T. Indu; K. Somasundaram 001; C. Shunmuga Velayutham (PReMI (1), 2019)

Fitness Function Design for Neuroevolution in Goal-Finding Game Environments. - K. Vignesh Kumar; R. Sourav; C. Shunmuga Velayutham; Vidhya Balasubramanian (ICCCI (CCIS Volume), 2020)

A preliminary investigation into automatically evolving computer viruses using evolutionary algorithms. - Ritwik Murali; C. Shunmuga Velayutham (J. Intell. Fuzzy Syst., 2020)

Empirical investigations on evolution strategies to self-adapt the mutation and crossover parameters of differential evolution algorithm. - Dhanya M. Dhanalakshmy; G. Jeyakumar 001; C. Shunmuga Velayutham (Int. J. Intell. Syst. Technol. Appl., 2021)

Adapting novelty towards generating antigens for antivirus systems. - Ritwik Murali; C. Shunmuga Velayutham (GECCO, 2022)

A meta-evolutionary selection of constituents in ensemble differential evolution algorithm. - Indu M. T.; C. Shunmuga Velayutham (Expert Syst. Appl., 2022)

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 (GECCO Companion, 2023)

A Grammatical Evolution Based Automated Configuration of an Ensemble Differential Evolution Algorithm. - M. T. Indu; C. Shunmuga Velayutham (PReMI, 2023)

Evolving malware variants as antigens for antivirus systems. - Ritwik Murali; T. Palanisamy; C. Shunmuga Velayutham (Expert Syst. Appl., 2023)

Interactive Symbolic Regression - A Study on Noise Sensitivity and Extrapolation Accuracy. - S. Sanjith Raghav; S. Tejesh Kumar; Rishiikesh Balaji; M. Sanjay; C. Shunmuga Velayutham (GECCO Companion, 2024)

An interoperable ontology for CPS-enabled Polyhouse Solar Dryer: A case study of the AgroESP project. - Gowtham Ramesh; P. Dheepan Kanna; C. Shunmuga Velayutham; Jancirani Ramaswamy (J. Ind. Inf. Integr., 2024)

Differential evolution ensemble designer. - Indu M. T.; C. Shunmuga Velayutham (Expert Syst. Appl., 2024)