Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems

Maryam Karimi Mamaghan, Mehrdad Mohammadi, Wout Dullaert +2

This study develops a framework based on reinforcement learning to dynamically manage a large portfolio of search operators within meta-heuristics. Using the idea of tabu search, t…