A multilevel learning aided coevolutionary particle swarm optimization algorithm has been applied to the multiobjective fuzzy flexible job shop scheduling problem. However, it is unclear if this is the same algorithm being referenced in reports of a modulation optimization method for a seven-level SHEPWM inverter. The algorithm's use appears to be explored in different contexts, including data-driven evolutionary optimization and ensemble learning.