Prototype Virtual Reality Enabled Particle Swarm Optimizer

Abstract

Plasma Physics is a complex nonlinear system. The problems of the field involve the optimization of a set of a parameters and their constraint checking on a set of boundary conditions. The convergence of algorithm for local and global minima is of importance. Due to unpredictable nature of solution, use of virtual reality based modeling will be of due importance for better understanding and sharing it for discussion. Numerous optimization algorithms have been proposed to solve these problems with varying degree of success. The particle swarm optimization is relatively new techniques that have been empirically shown to perform well on many of this optimization problem. It is inspired by the behavior of the swarm found in nature. The basic optimization algorithm of PSO has been enhanced for guaranteed convergence with various configurations and topologies. This project will be focus on study of Particle Swarm Optimization algorithms and modeling of physical problem of 3rd degree nonlinear equations using it and comparing it with empirical results. Empirical results are presented to support theoretical properties predicted by the various models, using synthetic benchmark functions to investigate specific properties. In the later phase more complex problems related to plasma physics will be tried out and results will be achieved.