“…But due to various drawbacks such as approximation used in these techniques and early convergence to local minima, these algorithms proved to be computationally inefficient. To have better solutions to the optimization problem, algorithms such as differential evolution (Peng et al, 2012),genetic algorithm (Sahay et al, 2018) (Nadakuditi et al, 2019), artificial bee colony (He, et al, 2013) (Jadav et al, 2013), particle swarm optimization (Yao et al, 2012) (Gupta et al, 2020) (Chen et al, 2019),gravitational search algorithm (Mondal et al, 2013)(Sarkar et al, 2018, and artificial neural networks has been used by various scholars.…”