“…Therefore, researchers have paid great attention to the excitation recalculation, and different calculating methods have been studied. Some intelligence optimization algorithm based schemes have been reported, including genetic algorithms (GA) [7], [12]- [14], adaptive genetic algorithm (AGA) [15], firefly algorithm (FA) [12], [16], [17], particle swarm optimization (PSO) [10], [18], quantum particle swarm optimization (QPSO) [19], bacteria foraging optimization (BFO) [10], cuckoo search algorithm [20], cuckoo search-chicken swarm optimization (CSCSO) [21], flower pollination algorithm [22], [23], recursive intelligent optimizer (RIO) [24], whale optimization algorithm (WOA) and chaotic whale optimization algorithm (CWOA) [25], grey wolf optimizer hybridized with an interior point algorithm [26], greedy sparseness constrained optimization (GSCO) technique [27], differential evolution (DE) algorithm [28], Taguchi algorithm [29]. Iterative Fourier transform (IFT) [5], [30], [31] and quantized IFT (QIFT) [32] is another method for calculating the excitation of remaining elements.…”