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

Maryam Karimi MamaghanMehrdad MohammadiBastien PasdeloupPatrick Meyer
Published in: Eur. J. Oper. Res. (2023)
Keyphrases
  • greedy algorithm
  • reinforcement learning
  • learning algorithm
  • metaheuristic
  • greedy algorithms
  • objective function
  • optimization problems
  • worst case
  • search space
  • cost function
  • action selection