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C. Shunmuga Velayutham

C. Shanmuga Velayutham

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2020 – today

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2024
[j12]
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Indu M. T., C. Shunmuga Velayutham:
Differential evolution ensemble designer. Expert Syst. Appl. 238(Part C): 121674 (2024)
[j11]
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Gowtham Ramesh, P. Dheepan Kanna, C. Shunmuga Velayutham, Jancirani Ramaswamy:
An interoperable ontology for CPS-enabled Polyhouse Solar Dryer: A case study of the AgroESP project. J. Ind. Inf. Integr. 42: 100677 (2024)
[c24]
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  - conf/gecco/RaghavKBSS24
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S. Sanjith Raghav, S. Tejesh Kumar, Rishiikesh Balaji, M. Sanjay, C. Shunmuga Velayutham:
Interactive Symbolic Regression - A Study on Noise Sensitivity and Extrapolation Accuracy. GECCO Companion 2024: 2076-2082
2023
[j10]
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Ritwik Murali, T. Palanisamy, C. Shunmuga Velayutham:
Evolving malware variants as antigens for antivirus systems. Expert Syst. Appl. 226: 120092 (2023)
[c23]
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  - conf/gecco/CSKSSKASG23
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C. Shunmuga Velayutham, Sujit Subramanian S, Arvindram K, Madhusoodhan Sathya, Nathiyaa Sengodan, Divesh Kosuri, Sai Satvik Arvapalli, Thangavelu S, Jeyakumar Gurusamy:
EvoPrunerPool: An Evolutionary Pruner using Pruner Pool for Compressing Convolutional Neural Networks. GECCO Companion 2023: 2136-2143
[c22]
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  - conf/premi/InduV23
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M. T. Indu, C. Shunmuga Velayutham:
A Grammatical Evolution Based Automated Configuration of an Ensemble Differential Evolution Algorithm. PReMI 2023: 587-596
2022
[j9]
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Indu M. T., C. Shunmuga Velayutham:
A meta-evolutionary selection of constituents in ensemble differential evolution algorithm. Expert Syst. Appl. 205: 117667 (2022)
[c21]
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Ritwik Murali, C. Shunmuga Velayutham:
Adapting novelty towards generating antigens for antivirus systems. GECCO 2022: 1254-1262
2021
[j8]
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  - journals/ijista/DhanalakshmyJV21
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Dhanya M. Dhanalakshmy, G. Jeyakumar, C. Shunmuga Velayutham:
Empirical investigations on evolution strategies to self-adapt the mutation and crossover parameters of differential evolution algorithm. Int. J. Intell. Syst. Technol. Appl. 20(2): 103-125 (2021)
2020
[j7]
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Ritwik Murali, C. Shunmuga Velayutham:
A preliminary investigation into automatically evolving computer viruses using evolutionary algorithms. J. Intell. Fuzzy Syst. 38(5): 6517-6526 (2020)
[c20]
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  - conf/iccci/KumarSVB20
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K. Vignesh Kumar, R. Sourav, C. Shunmuga Velayutham, Vidhya Balasubramanian:
Fitness Function Design for Neuroevolution in Goal-Finding Game Environments. ICCCI (CCIS Volume) 2020: 503-515

2010 – 2019

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2019
[c19]
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  - conf/educon/NarayananSV19
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V. Anantha Narayanan, C. K. Shyamala, C. Shunmuga Velayutham:
T{h}inker for Engaging Learning Experience in Computational Thinking and Programming. EDUCON 2019: 863-866
[c18]
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  - conf/educon/ThangaveluRSV19
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Shanmuga Sundaram Thangavelu, Vibha Rao, C. K. Shyamala, C. Shunmuga Velayutham:
Introductory Programming Using Non-Textual Modalities - An Empirical Study on Skill Assessment Using Rainfall Problem. EDUCON 2019: 867-871
[c17]
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Dhanya M. Dhanalakshmy, G. Jeyakumar, C. Shunmuga Velayutham:
Analytical Study and Empirical Validations on the Impact of Scale Factor Parameter of Differential Evolution Algorithm. PReMI (1) 2019: 328-336
[c16]
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M. T. Indu, K. Somasundaram, C. Shunmuga Velayutham:
A Preliminary Investigation on a Graph Model of Differential Evolution Algorithm. PReMI (1) 2019: 365-374
2018
[c15]
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  - conf/icalt/NarayananSV18
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V. Anantha Narayanan, C. K. Shyamala, C. Shunmuga Velayutham:
T{h}inker: A Physical Computing Tool Kit for Computational Thinking. ICALT 2018: 298-300
2017
[c14]
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  - conf/educon/ShyamalaVP17
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C. K. Shyamala, C. Shunmuga Velayutham, Latha Parameswaran:
Teaching computational thinking to entry-level undergraduate engineering students at Amrita University. EDUCON 2017: 1731-1734
2016
[c13]
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  - conf/icpr/SubramanianR0SV16
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Saravanan Subramanian, Santu Rana, Sunil Gupta, Palaniappan Bagavathi Sivakumar, C. Shunmuga Velayutham, Svetha Venkatesh:
Bayesian nonparametric Multiple Instance Regression. ICPR 2016: 3661-3666
2015
[j6]
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  - journals/ijbic/ThangaveluV15
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Shanmuga Sundaram Thangavelu, C. Shunmuga Velayutham:
An investigation on mixing heterogeneous differential evolution variants in a distributed framework. Int. J. Bio Inspired Comput. 7(5): 307-320 (2015)
2014
[j5]
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  - journals/soco/JeyakumarV14
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G. Jeyakumar, C. Shunmuga Velayutham:
Distributed heterogeneous mixing of differential and dynamic differential evolution variants for unconstrained global optimization. Soft Comput. 18(10): 1949-1965 (2014)
[c12]
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  - conf/intelligent/ThangaveluV14
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Shanmuga Sundaram Thangavelu, C. Shunmuga Velayutham:
Combining Different Differential Evolution Variants in an Island Based Distributed Framework-An Investigation. ISI (1) 2014: 593-606
2013
[j4]
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  - journals/memetic/JeyakumarV13
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G. Jeyakumar, C. Shunmuga Velayutham:
Distributed mixed variant differential evolution algorithms for unconstrained global optimization. Memetic Comput. 5(4): 275-293 (2013)
2011
[j3]
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  - journals/ijaec/JeyakumarV11
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G. Jeyakumar, C. Shanmuga Velayutham:
Experimental Study on Recent Advances in Differential Evolution Algorithm. Int. J. Appl. Evol. Comput. 2(2): 58-81 (2011)
[i1]
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  - journals/corr/abs-1105-1901
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G. Jeyakumar, C. Shanmuga Velayutham:
Convergence Analysis of Differential Evolution Variants on Unconstrained Global Optimization Functions. CoRR abs/1105.1901 (2011)
2010
[c11]
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  - conf/seal/JeyakumarV10
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G. Jeyakumar, C. Shunmuga Velayutham:
A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants. SEAL 2010: 75-79
[c10]
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  - conf/semcco/JeyakumarV10
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G. Jeyakumar, C. Shunmuga Velayutham:
Empirical Study on Migration Topologies and Migration Policies for Island Based Distributed Differential Evolution Variants. SEMCCO 2010: 29-37
[c9]
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  - conf/semcco/JeyakumarV10a
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G. Jeyakumar, C. Shanmuga Velayutham:
Analyzing the Explorative Power of Differential Evolution Variants on Different Classes of Problems. SEMCCO 2010: 95-102
[c8]
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Shanmuga Sundaram Thangavelu, C. Shunmuga Velayutham:
Taguchi Method Based Parametric Study of Generalized Generation Gap Genetic Algorithm Model. SEMCCO 2010: 344-350

2000 – 2009

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2009
[c7]
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  - conf/nabic/JeyakumarV09
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G. Jeyakumar, C. Shunmuga Velayutham:
A Comparative Performance Analysis of Differential Evolution and Dynamic Differential Evolution Variants. NaBIC 2009: 463-468
[c6]
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G. Jeyakumar, C. Shunmuga Velayutham:
An Empirical Comparison of Differential Evolution Variants on Different Classes of unconstrained Global Optimization Problems. NaBIC 2009: 866-871
[c5]
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  - conf/nabic/RajuV09
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D. K. Ashwin Raju, C. Shunmuga Velayutham:
A Study on Genetic Algorithm based Video Abstraction System. NaBIC 2009: 878-883
[c4]
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G. Jeyakumar, C. Shunmuga Velayutham:
A Comparative Performance Analysis of Multiple Trial Vectors Differential Evolution and Classical Differential Evolution Variants. RSFDGrC 2009: 470-477
2005
[j2]
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  - journals/tnn/VelayuthamK05
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C. Shunmuga Velayutham, Satish Kumar:
Asymmetric subsethood-product fuzzy neural inference system (ASuPFuNIS). IEEE Trans. Neural Networks 16(1): 160-174 (2005)
2004
[c3]
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  - conf/iconip/VelayuthamK04
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C. Shunmuga Velayutham, Satish Kumar:
Differential Evolution Based On-Line Feature Analysis in an Asymmetric Subsethood Product Fuzzy Neural Network. ICONIP 2004: 959-964
2003
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  - conf/fuzzIEEE/VelayuthamK03
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C. Shunmuga Velayutham, Satish Kumar:
Some applications of an asymmetric subsethood product fuzzy neural inference system. FUZZ-IEEE 2003: 202-207
2002
[j1]
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  - journals/ijprai/VelayuthamKP02
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C. Shunmuga Velayutham, Satish Kumar, Sandeep Paul:
Evolvable Subsethood Product Fuzzy Neural Network for Pattern Classification. Int. J. Pattern Recognit. Artif. Intell. 16(7): 957- (2002)
[c1]
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C. Shunmuga Velayutham, Sandeep Paul, Satish Kumar:
Evolutionary Subsethood Product Fuzzy Neural Network. AFSS 2002: 274-280

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