Enhancing the Performance of a Three-Phase Induction Motor Using a Novel Hybrid Particle Swarm Optimization and Genetic Algorithm

• The hybrid PSO-GA algorithm improves induction motor efficiency by 5% compared to conventional designs. • Total losses are reduced by 10% through optimal parameter tuning. • The hybrid approach achieves faster convergence and better solution quality than standalone PSO or GA. • Experimental validation confirms simulation results, demonstrating practical applicability.