Indexed/Peer-reviewed Journals

  1. Nishani H.P.S., Weerakoon Sunethra, Fernando T.G.I., Liyanage Menaka. Weerakoon-Fernando Method with accelerated third-order convergence for systems of nonlinear equations. International Journal of Mathematical Modelling and Numerical Optimisation, Inderscience Publishers. 2017 (In Press).
  2. Ariyaratne Anuradha, Fernando T.G.I., Weerakoon Sunethra. A self-tuning Firefly Algorithm to tune the parameters of Ant Colony System (ACSFA). International Journal of Swarm Intelligence, Inderscience Publishers. 2017 (In Press).
  3. Ariyasingha IDID, Fernando TGI. Random weight-based ant colony optimization algorithm for the multi-objective optimization problems. International Journal of Swarm Intelligence, Inderscience Publishers. 2017 Jan 1;3(1):77-100.Available from: http://www.inderscienceonline.com/doi/abs/10.1504/IJSI.2017.082398
  4. Ariyaratne MKA, Fernando TGI, Weerakoon S. An archived firefly algorithm; a mathematical software to solve univariate nonlinear equations. International Journal on Advances in ICT for Emerging Regions (ICTer). 2016 Jul 13;9(1). Available from: http://icter.sljol.info/articles/abstract/10.4038/icter.v9i1.7169/
  5. Ilmini KS, Fernando TGI. Persons Personality Traits Recognition using Machine Learning Algorithms and Image Processing Techniques. Advances in Computer Science: an International Journal. 2016 Jan 31;5(1):40-4. Available from: http://www.acsij.org/acsij/article/view/413
  6. Ariyasingha IDID, Fernando TGI. A Performance Study for the Multi-objective Ant Colony Optimization Algorithms on the Job Shop Scheduling Problem. International Journal of Computer Applications. 2015 17-12;132(14):1-8. Available from: http://www.ijcaonline.org/archives/volume132/number14/23659-2015907638
  7. Ariyaratne MKA, Fernando TGI, A Comparative Study on Nature Inspired Algorithms with Firefly Algorithm. The International Journal of Engineering and Technology (IJET)(ISSN 2049-3444), Vol. 04, No 10, Oct. 2014. Available from: https://pdfs.semanticscholar.org/1467/d55c6e919f456e5d04f4af7e71f246dce5f0.pdf
  8. Wanigasooriya J, Fernando TGI. Multi-Vehicle Passenger Allocation and Route Optimization for Employee Transportation using Genetic Algorithms. International Journal of Computer Applications. 2013 15-2;64(20):1-9. Available from: http://www.ijcaonline.org/archives/volume64/number20/10747-5712
  9. Fernando TGI, Kalganova T. Multi-Colony Ant Systems for Multi-Hose Routing. International Journal of Computer Applications. 2012 18-12; 59(2):114. Available from: http://www.ijcaonline.org/archives/volume59/number2/9517-3931
  10. Abeysooriya RP, Fernando TGI. Hybrid Approach to Optimize Cut Order Plan Solutions in Apparel Manufacturing. International Journal of Information and Communication Technology Research, Vol. 2, No. 4, Apr. 2012. Available from: http://esjournals.org//journaloftechnology/Download_April_2012_pdf_3.php
  11. Abeysooriya RP, Fernando TGI. Canonical Genetic Algorithm To Optimize Cut Order Plan Solutions in Apparel Manufacturing. Journal of Emerging Trends in Computing and Information Sciences. Vol. 3, No. 2, Feb. 2012. Available from: http://cisjournal.org/journalofcomputing/Download_February_pdf_5.aspx
  12. Udeshani KAG, Meegama RGN, Fernando TGI. Statistical Feature-based Neural Network Approach for the Detection of Lung Cancer in Chest X-Ray Images. International Journal of Image Processing, vol. 5, Issue. 4, 2011. Available from: http://www.cscjournals.org/library/manuscriptinfo.php?mc=IJIP-425
  13. Thantulage G, Kalganova T, Wilson M, Grid-Based and Random Based Ant Colony Algorithms for Automatic Hose Routing in 3D Space. Transactions on Engineering, Computing and Technology, Volume 14, International Journal of Applied Science, Engineering and Technology (IJASET), Enformatika, ISBN 1503-5313, ISBN 975-00803-3-5, Aug. 2006. pp. 144 – 150, 2006. Available from: http://waset.org/publications/989/grid-based-and-random-based-ant-colony-algorithms-for-automatic-hose-routing-in-3d-space
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