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Hyper-Heuristic with Reinforcement Learning

This is an ongoing project as part of my PhD research, where I am implementing Reinforcement Learning agents for selecting low-level heuristics applied on combinatorial optimization problems.

Implemented agents

  • Deep Q-Network
  • Dynamic Multi-Armed Bandit
  • Fitness-Rate-Rank Multi Armed Bandit

Combinatorial Problem Domains

The domains come from the HyFlex Framework:

  • Bin Packing
  • MAX-SAT
  • Personnel Scheduling
  • Flow Shop
  • Traveling Salesman
  • Vehicle Routing

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Reinforcement Learning agents for a selection Hyper-Heuristic

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