“…Currently, intelligent metaheuristic tuning methods have developed, and their application has increased due to its advantage in solving difficult high-dimension, non-linear, non-differentiable, non-convex, and multi-modal real-world problems [18,19]. Many of these methods are employed for single machine infinite bus (SMIB) and multi-machine PSSs parameter design, such as Evolutionary Programming (EP) [20], Differential Evolution (DE) [21], Genetic Algorithm (GA) [22], Particle Swarm Optimization (PSO) [23], Whale Optimization Algorithm (WOA) [24], Salp Swarm Algorithm (SSA) [25], Kidney-inspired Algorithm (KA) [13], Grasshopper Optimization Algorithm (GOA) [16], Bacteria Foraging Optimization (BF) [26], Sine Cosine Algorithm (SCA) [27], Bat Algorithm (BA) [28], Cuckoo Search Optimization (CSO) [29], Artificial Bee Colony (ABC) [30], General Relativity Search Algorithm (GRSA) [31] etc. These algorithms offer good a performance as regards the problem of PSS design.…”