Publications

To date, I have authored 19 publications, including 11 journal articles, 1 book chapter, and 7 conference proceedings.

Journal Articles

2024

Dikwatta, U., Fernando, T.G.I. and Ariyaratne, M.K.A., (2024). Exploring Mechanisms for Detecting Violent Content in Sinhala Image Posts: Ratio-nale with Unsupervised vs Supervised Techniques. International Journal of Research in Computing (IJRC), 2(2).

http://www.ijrcom.org/index.php/ijrc/article/view/123

2023

Ariyaratne, M. K. A., and Hansani, H. (2023). AGH; An Ant Genetic Hybrid Solution to Solve the Multi-model Traveling Salesmen Problem. International Journal of Research in Computing (IJRC), 2(1).

http://www.ijrcom.org/index.php/ijrc/article/view/117

2023

Ilankoon, I.M.T.P.K. , Samarasinghe, U. , Ariyaratne, M.K.A. and Silva, R.M.,2023. Finding Playing Styles of Badminton Players Using Firefly Algorithm Based Clustering Algorithms, Computer Science, (On Production)

(Q4, IS (2023) : 0.83)

https://journals.agh.edu.pl/csci/article/view/5116

2022

De Sirisuriya, S.C.M.S., Fernando, T.G.I., and Ariyaratne, M.K.A. , 2022. Algorithms for path optimizations: a short survey. Computing, 1-27.

(Q2,IS (2021) : 2.420)

https://link.springer.com/article/10.1007/s00607-022-01126-w

2022

Ariyaratne, M.K.A. and Silva, R.M., 2022. Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms. International Journal of Computer Science in Sport, 21(1), pp.49-92.

(Q2, IS (2021) : 1.63)

https://sciendo.com/es/article/10.2478/ijcss-2022-0003

2022

De Silva, P.H.H.P.N., Lanel, G., and Ariyaratne, M.K.A., 2022. Optimum Plant Mix Selection for Urban Home Gardens: an Attempt on Genetic Algorithm and Integer Linear Programming. International Journal of Applied Sciences: Current and Future Research Trends, 15(1), 101–119.

https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/article/view/1283

2020

Ariyaratne, M.K.A., Fernando, T.G.I. and Weerakoon, S., 2020. A self-tuning algorithm to approximate roots of systems of nonlinear equations based on the firefly algorithm. International Journal of Swarm Intelligence, 5(1), pp.60-96.

https://www.inderscienceonline.com/doi/abs/10.1504/IJSI.2020.106406

2019

Ariyaratne, M.K.A., Fernando, T.G.I. and Weerakoon, S., 2019. Solving systems of nonlinear equations using a modified firefly algorithm (MODFA). Swarm and Evolutionary Computation, 48, pp.72-92.

(Q1, IS (2019) : 8.75)

https://www.sciencedirect.com/science/article/abs/pii/S2210650217306107?via%3Dihub

2018

Ariyaratne, M.K.A., Fernando, T.G.I. and Weerakoon, S., 2018. A self-tuning firefly algorithm to tune the parameters of ant colony system. International Journal of Swarm Intelligence, 3(4), pp.309-331.

https://www.inderscienceonline.com/doi/abs/10.1504/IJSI.2018.091415

2016

Ariyaratne, M.K.A., Fernando, T.G.I. and Weerakoon, S., 2015. An Archived firefly Algorithm; A mathematical software to solve univariate nonlinear equations. Journal of ICTer. 9(1).

https://journal.icter.org/index.php/ICTer/article/download/213/92

2014

Ariyaratne, M.K.A. and Fernando, T.G.I., 2014. A comparative study on nature inspired algorithms with firefly algorithm. International Journal of Engineering and Technology, 4(10), pp.611-617.

Peer-Reviewed Book Chapters

2022

Ariyaratne, M.K.A., Fernando, T.G.I. (2023). A Comprehensive Review of the Firefly Algorithms for Data Clustering. In: Biswas, A., Kalayci, C.B., Mirjalili, S.(eds) Advances in Swarm Intelligence. Studies in Computational Intelligence, vol 1054. Springer, Cham.

https://doi.org/10.1007/978-3-031-09835-2_12

Conference Proceedings

2022

Samarasinghe, U. S. and Ariyaratne, M. K. A. (2022, June 19-23). An expert system to detect and classify CNS disorders based on eye test data using SVM and Nature-Inspired Algorithms. Paper presented at the 21st International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland.

https://link.springer.com/chapter/10.1007/978-3-031-23480-4_15

2020

Ariyaratne, M.K.A., Fernando, T.G.I. and Weerakoon, S., 2020, November. A Hybrid Algorithm to Solve Multi-model Optimization Problems Based on the Particle Swarm Optimization with a Modified Firefly Algorithm. In Proceedings of the Future Technologies Conference (pp. 308-325). Springer, Cham.

https://link.springer.com/chapter/10.1007/978-3-030-63128-4_24

2019

Ariyaratne, M.K.A. and Marikar, F.M., 2019, December. Identification of the best teaching practice by VAK model in the computer degree programme. In 2019 International Conference on Advancements in Computing (ICAC) (pp. 216-219). IEEE.

https://ieeexplore.ieee.org/abstract/document/9103343

2017

Paranagama, H.M.T., Ariyaratne, M.K.A. and Sirisuriya, S.C.M.D.S., 2017. A machine learning approach to classify sinhala songs based on user ratings. In 2017 Tenth international research conference (KDU)

http://ir.kdu.ac.lk/bitstream/handle/345/1686/009.pdf?sequence=1

2016

Ariyaratne, M.K.A., Fernando, T.G.I. and Weerakoon, S., 2016, July. A self-tuning modified firefly algorithm to solve univariate nonlinear equations with complex roots. In 2016 IEEE Congress on Evolutionary Computation (CEC) (pp.1477-1484). IEEE.

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743964&isnumber=7743769

2015

Ariyaratne, M.K.A., Fernando, T.G.I. and Weerakoon, S., 2015, August. A modified firefly algorithm to solve univariate nonlinear equations with complex roots. In 2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) (pp. 160-167). IEEE.

https://ieeexplore.ieee.org/abstract/document/7377683

2015

Ariyaratne, M.K.A. and Pemarathne, W.P.J., 2015. A review of recent advancements of firefly algorithm; a modern nature inspired algorithm. In 2015 Eighth international research conference (KDU) (pp. 61-66)

http://ir.kdu.ac.lk/bitstream/handle/345/1038/com-047.pdf?sequence=1