![]() This method represents a higher probability of convergence than Particle Swarm Optimization (PSO) Modifications of GOA have been examined regarding their effect on the algorithm’s convergence. The characteristic feature of GOA is the movement of agents is based on the position of all agents in the swarm. The algorithm is based on insect behavior in the food foraging swarm of grasshoppers. In this paper, an application of the recently developed Grasshopper Optimization Algorithm (GOA) for calculation of switching angles for Selective Harmonic Elimination (SHE) PWM in low-frequency voltage source inverter is proposed. ![]()
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