A new variant of PSO, abbreviated as MLPSO-STP, is proposed.
A novel learning strategy is used to enhance the global search ability.
Space transformation perturbation is used to obtain better solutions.
MLPSO-STP outperforms its peers in terms of searching accuracy and reliability.
MLPSO-STP is used to optimize the operating conditions of ethylene cracking furnace.