Parametric optimization of ultrasonic machining process using gravitational search and fireworks algorithms

(in lingua inglese)

In this paper, two almost unexplored non-conventional optimization techniques, i.e. GSA and FWA algorithms are applied for optimizing the responses of USM process. It is observed that the optimization performance of FWA technique is better than that of GSA and other popularly adopted population-based algorithms, although on an average, it takes slightly more computational time. It is also found that the optimization performances of these two algorithms are statistically different at 5% significance level.