Parametric Optimisation of the EDC Parameters using the SOPT Algorithm

Optimisation is the necessary tool for the engineering application such as welding, casting, machining of the work-piece. Electrical discharge coating is one of the non traditional machining processes where several parameters such as material deposition ratio, surface roughness have to be minimised. Taguchi and Anova analysis is the one of the optimisation tool. But this optimisation tool based on the limited iteration and defines the statistical measurement. This statistical measure is based on the prediction. So this result creates some doubtful result also. Hence it is necessary to check these results with the some algorithm. . In the optimisation problem two types of problem linear and nonlinear. Linear problem is solved by graphical problem, simplex method where nonlinear problem is difficult to solve but present times it has solved by artificial and heuristic procedure like genetic algorithm (GA), particle swarm optimisation (PSO), artificial bee method, ant colony algorithm. Artificial intelligence processes are expensive and heuristic procedures are problem trap of local minima. Meta heuristic procedures remove the problem of heuristic procedure. One of the Meta heuristic procedures is simple optimisation and teaching learning based algorithm.