Problem Feature-Based Meta-Heuristics with Reinforcement Learning for Solving Urban Traffic Light Scheduling Problems.
Liang WangKaizhou GaoZhongjie LinWuze HuangPublished in: ITSC (2022)
Keyphrases
- metaheuristic
- scheduling problem
- reinforcement learning
- combinatorial optimization
- tabu search
- traffic light
- simulated annealing
- traffic congestion
- optimization problems
- traffic flows
- combinatorial optimization problems
- ant colony optimization
- job shop scheduling problem
- search space
- genetic algorithm
- traffic flow
- traffic management
- optimal solution
- multi agent
- particle swarm optimization
- search methods
- vehicle routing problem
- intelligent control
- suboptimal solutions
- np hard
- evolutionary algorithm
- process control
- traveling salesman problem
- processing times
- parallel machines
- memetic algorithm
- travel time
- single machine
- wireless networks
- control system
- learning algorithm