Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem

•Incorporating multiple perturbation operators into the Iterated Greedy algorithm.•Adaptively selecting the perturbation operators using Q-learning algorithm.•Obtaining solutions with better quality comparing to multiple benchmark algorithms.