“…27,41 These algorithms are not complex and are easy to execute and perceive. Most commonly used intelligent algorithms are genetic algorithm (GA), 42,43 hybrid genetic algorithm, 44 particle swarm optimization (PSO), [45][46][47] hybrid asynchronous particle swarm optimization (HAPSO), 27 artificial bee colony (ABC), 48,49 ant colony optimization (ACO), 50 differential evolution (DE), 51 bacterial foraging optimization, 52 imperialist competitive algorithm (ICA) 53 and improved ICA, 53 evolutionary algorithm, 54 and hybrid techniques such as PSO-GA. 55 The execution of these intelligent algorithms highly depends upon the objective function formulation. However, the speed of convergence is normally slow than the numerical techniques.…”