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MKA Ariyaratne
MKA Ariyaratne
Tampere University
Verified email at tuni.fi
Title
Cited by
Cited by
Year
Solving systems of nonlinear equations using a modified firefly algorithm (MODFA)
MKA Ariyaratne, TGI Fernando, S Weerakoon
Swarm and Evolutionary Computation 48, 72-92, 2019
492019
A Comparative Study on Nature Inspired Algorithms with Firefly Algorithm
MKA Ariyaratne, TGI Fernando
International Journal of Engineering and Technology 4 (10), 611-617, 2014
192014
A self-tuning modified firefly algorithm to solve univariate nonlinear equations with complex roots
MKA Ariyaratne, TGI Fernando, S Weerakoon
2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, Canada …, 2016
142016
A modified firefly algorithm to solve univariate nonlinear equations with complex roots
MKA Ariyaratne, TGI Fernando, S Weerakoon
2015 Fifteenth International Conference on Advances in ICT for Emerging …, 2015
122015
A Comprehensive Review of the Firefly Algorithms for Data Clustering
MKA Ariyaratne, TGI Fernando
Advances in Swarm Intelligence: Variations and Adaptations for Optimization …, 2022
102022
A self-tuning firefly algorithm to tune the parameters of ant colony system
MKA Ariyaratne, TGI Fernando, S Weerakoon
International Journal of Swarm Intelligence 3 (4), 309-331, 2018
92018
Algorithms for path optimizations: a short survey
S De Sirisuriya, TGI Fernando, MKA Ariyaratne
Computing 105 (2), 293-319, 2023
62023
Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms
MKA Ariyaratne, RM Silva
International Journal of Computer Science in Sport 21 (1), 49-92, 2022
62022
A review of recent advancements of firefly algorithm; a modern nature inspired algorithm
MKA Ariyaratne, WPJ Pemarathne
Proceedings of the 8th international research conference, KDU, 61-66, 2015
62015
Identification of the Best Teaching Practice by VAK Model in the Computer Degree Programme
MKA Ariyaratne, FMMT Marikar
2019 International Conference on Advancements in Computing (ICAC), 216-219, 2019
42019
A Hybrid Algorithm to Solve Multi-model Optimization Problems Based on the Particle Swarm Optimization with a Modified Firefly Algorithm
MKA Ariyaratne, TGI Fernando, S Weerakoon
Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1, 308-325, 2021
32021
A self-tuning algorithm to approximate roots of systems of nonlinear equations based on the firefly algorithm
MKA Ariyaratne, TGI Fernando, S Weerakoon
International Journal of Swarm Intelligence 5 (1), 60-96, 2020
22020
An Online Help Desk System to Help Students in Learning
MND Salgado, PU Charuka, KP Bashitha, SC Eshwarage, ...
Proceedings of the 10th international research conference, KDU, 2017
22017
A self-tuning Firefly algorithm to tune the parameters of Ant Colony System (ACSFA)
MKA Ariyaratne, TGI Fernando, S Weerakoon
arXiv preprint arXiv:1610.08222, 2016
22016
Finding Playing Styles of Badminton Players Using Firefly Algorithm Based Clustering Algorithms: Finding Playing Styles of Badminton Players Using FA Varients
A Ariyaratne, I Ilankoon, U Samarasinghe, RM Silva
Computer Science 24 (3), 2023
12023
A Machine Learning Approach to Classify Sinhala Songs Based On User Ratings
HMT Paranagama, MKA Ariyaratne, S Sirisuriya
Proceedings of the 10th international research conference, KDU, 2017
12017
An Archived firefly Algorithm; A mathematical software to solve univariate nonlinear equations
MKA Ariyaratne, TGI Fernando, S Weerakoon
ICTer 9 (1), 2016
12016
Exploring Mechanisms for Detecting Violent Content in Sinhala Image Posts: Rationale with Unsupervised vs Supervised Techniques
U Dikwatta, TGI Fernando, MKA Ariyaratne
International Journal of Research in Computing (IJRC) 2 (02), 01-16, 2024
2024
AGH; An Ant Genetic Hybrid Solution to Solve the Multi-model Traveling Salesmen Problem
MKA Ariyaratne, H Hansani
International Journal of Research in Computing (IJRC) 2 (1), 2023
2023
Finding Playing Styles of Badminton Players Using Firefly Algorithm Based Clustering Algorithms
I Ilankoon, US Samarasinghe, MKA Ariyaratne, RM Silva
Computer Science 24, 2023
2023
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