School of Computing, Information and Mathematical Sciences
+679 32 32816
BSc MSc S.Pac., PhD Canberra
Fire Warden rep
Most recent research activities:
Development of a novel algorithm for optimization purpose.
My research interest is mainly in Artificial Intelligence and new optimization techniques in engineering specifically with the use of heuristic algorithms. Currently, I am working on inductive modeling through Group Method of Data Handling (GMDH). I worked in the following research projects:
Clustering for Data Mining:
A Hybrid Particle Swarm Optimization -Self Organizing Map Approach
A novel algorithm was proposed that uses Particle Swarm Optimization (PSO) algorithm to determine the cluster boundaries automatically in the output of self-organizing map (SOM). SOM is a data mining tool that reveals structure in data sets through data visualization and PSO is one of adaptive heuristic algorithms to solve many kinds of continuous and binary problems of large domain whose problem formulation is either impossible or very time consuming to execute.
Use of Particle Swarm Optimization in Engineering Problems:
PSO was used to solve several problems like flow-shop scheduling problem of factories, Dynamic pick and place problem in robotics and vehicle routing problem.
Inductive Modeling through GMDH and PSO:
We proposed a new design methodology which is based on hybrid of particle swarm optimization (PSO) and group method of data handling (GMDH). The PSO and GMDH are two well-known nonlinear methods of mathematical modeling. This novel method constructs a GMDH network model of a population of promising PSO solutions. The new PSO-GMDH hybrid implementation is then can be applied to modeling and prediction of practical datasets.