Selective Harmonic Elimination (SHE) technique is popularly implemented for precise elimination of eminent low-order voltage harmonics while precisely maintaining the preferred value of fundamental voltage. This technique involves derivation of optimal switching angles by solving transcendental non-linear equations. This paper presents a comparative study of Hybrid Genetic Algorithm Method (HGAM), Teaching Learning Based Optimization (TLBO) and Particle Swarm Optimization (PSO) technique on the basis of the weighted total harmonic distortion, effective harmonic elimination and fitness function. All the techniques have been programmed in Matlab software platform and simulation results are attained considering two-level inverter with N=2 switching angles
