Browsing by Author "Fernando, T.G.I."

Ant Colony Optimization Algorithm to Solve Electrical Cable Routing

Pemarathne, P.; Fernando, T.G.I. (Springer Nature Singapore, 2020)

Approaches Used to Recognise and Decipher Ancient Inscriptions: A Review

Heenkenda, H.M.S.C.R.; Fernando, T.G.I. (Faculty of Applied Sciences, University of Sri Jayewardenepura, 2020)

Inscriptions play a vital role in historical studies. In order to boost tourism and academic necessities, archaeological experts, epigraphers and researchers recognised and deciphered a great number of inscriptions using ...

An archived firefly algorithm; a mathematical software to solve univariate nonlinear equations

Ariyaratne, M. K. A.; Fernando, T.G.I.; Weerakoon, S. (2016)

In this article, we are presenting a software solution that proposes some modifications to the existing firefly algorithm. The modification; archived firefly algorithm [AFFA] exhibits the ability of finding almost all ...

An Archived Firefly Algorithm; A Mathematical Software to Solve Univariate Nonlinear Equations

Ariyaratne, M.K.A.; Fernando, T.G.I.; Weerakoon, S. (IEEE, 2015)

The future of optimization is now being conquered by modern meta-heuristic algorithms. Genetic algorithms, differential evolution, harmony search, firefly algorithm and cuckoo search are such meta-heuristic algorithms which ...

An Archived firefly Algorithm; A mathematical software to solve univariate nonlinear equations

Ariyaratne, M.K.A.; Fernando, T.G.I.; Weerakoon, S. (2015)

Attached

Automated Methods to Identify Snake Species in Sri Lanka: A Review

Abayaratne, S.B.; Ilmini, W.M.K.S.; Fernando, T.G.I. (2019)

Snake bites in Sri Lanka cause death to nearly 100 people each year. Among the many reasons for this condition is the inability of people to identify the snake type which prevents administering the appropriate anti venom ...

Finding the Gender of Personal Names and Finding the Effect of Gana on Personal Names with Long Short Term Memory

Lekamge, T.C.; Fernando, T.G.I. (2019)

Identification of Snake Species in Sri Lanka Using Convolutional Neural Networks

Abayaratne, S.B.; Ilmini, W.M.K.S.; Fernando, T.G.I. (2019)

Snake bites in Sri Lanka cause death to nearly 100 people annually. Administering the appropriate anti-venom treatment for snake bite victims gets delayed causing complications as a result of the inability of people to ...

iPersonalityReader: An Application to Assess the Personality of a Person via Face Image using Pre-trained Convolutional Neural Networks

Ilmini, W.M.K.S; Fernando, T.G.I. (2019)

The iPersonalityReader is a web-based app which is capable to assess the personality from the outer appearance of a person. To assess the personality, we proposed a convolutional neural network-based model with ...

Mobile Application to Identify Fish Species Using YOLO and Convolutional Neural Networks

Priyankan, K.; Fernando, T.G.I. (2019)

Object detection is one of the sub-components of computer vision. With recent development in deep neural networks many day-to-day problems can be solved. One of the practical problems faced by shoppers is the difficulties ...

A Modified Firefly Algorithm to solve Univariate Nonlinear Equations with Complex Roots

Ariyarathne, M.K.A.; Fernando, T.G.I.; Weerakoon, S. (2015-08-24)

Recently developed meta-heuristic algorithms such as firefly algorithm, bat algorithm, particle swarm optimization and harmony search arc now becoming popular for providing nearly accurate solutions for tough optimization ...

A Modified Firefly Algorithm to solve Univariate Nonlinear Equations with Complex Roots

Ariyaratne, M.K.A.; Fernando, T.G.I.; Weerakoon, S. (Proceedings of International Conference on Advances in ICT for Emerging Regions ICTer 20l5, 2015)

Attached

A modified Pareto strength ant colony optimization algorithm for the multi-objective optimization problems

Ariyasinghe, I.D.I.D.; Fernando, T.G.I. (2016)

Ant colony optimization is a meta-heuristic that has been widely used for solving combinatorial optimization problems, and most real-world applications are concerned with multi-objective optimization problems. The Pareto ...

Multi-Step-Ahead Prediction of Exchange Rates Using Artificial Neural Networks: A Study on Selected Sri Lankan Foreign Exchange Rates

Samarawickrama, A. J. P.; Fernando, T.G.I. (IEEE, 2019)

The exchange rate is a very important economic indicator for countries with market economies as its fluctuations heavily affect the most areas in the economy. Accordingly, predicting future values of foreign exchange ...

A New Multi-Objective Ant Colony Optimisation Algorithm for Solving the Quadratic Assignment Problem

Ariyasingha, I.D.I.D.; Fernando, T.G.I. (Faculty of Applied Sciences, University of Sri Jayewardenepura, 2019)

The multi-objective quadratic assignment problem (mQAP) is an NP-hard combinatorial optimisation problem. Real world problems are concerned with multi-objective problems which optimise more objective functions simultaneously. ...

Optimising Electrical Wiring Design of a Single-Storey Floor Plan using Multi-Objective Ant Colony System Algorithm (MOACS-EWR)

Pemarathne, W.P.J.; Fernando, T.G.I. (Faculty of Applied Sciences, University of Sri Jayewardenepura, 2020)

Nature-inspired algorithms are remarkable of producing optimum solutions by using the extraordinary behavior of nature. Ant colony optimisation algorithm is a foremost algorithm applied to various difficult combinatorial ...

Optimizing the Electrical Wire Routing through Multiple Points using Multi-Objective Ant Colony Algorithms for Electrical Wire Routing (MOACSEWR

Pemarathne, W.P.J.; Fernando, T.G.I. (2019)

Ant colony optimization algoritlun is a remarkable nature-inspired algoritlun which produces outstanding optimization solutions. During the recent years these algorithms have been appliedto various difficult combinatorial ...

Performance Analysis of the Multi-Objective Ant Colony Optimization Algorithms for the Traveling Salesman Problem

Ariyasingha, I.D.I.D.; Fernando, T.G.I. (Elsevier, 2015)

Most real world combinatorial optimization problems are difficult to solve with multiple objectives which have to be optimized simultaneously. Over the last few years, researches have been proposed several ant colony ...

Performance analysis of the multi-objective ant colony optimization algorithms for the traveling salesman problem

Ariyasingha, I.D.I.D.; Fernando, T.G.I. (Swarm and Evolutionary Computation, 2015)

Attached

A Performance Study for the Multi-objective Ant Colony Optimization Algorithms on the Job Shop Scheduling Problem

Ariyasingha, I.D.I.D.; Fernando, T.G.I. (2015-12)

Most of the research on job shop scheduling problem are conceerned with minimization of a single objective. However, the real world applications of job shop scheduling problems are involved in optimizing multiple objectives. ...

Browsing by Author "Fernando, T.G.I."

Browsing by Author "Fernando, T.G.I."

Search DSpace

Browse

All of DSpace

My Account