The multi-objective optimization of dual-stator permanent magnet motors is crucial for improving their performance in various applications. This study introduces a composite algorithm aimed at optimizing these motors by balancing multiple objectives effectively. By integrating advanced computational techniques, the approach addresses critical aspects such as efficiency, torque characteristics…
