Two-Phase Neural Combinatorial Optimization with Reinforcement Learning for Agile Satellite Scheduling.
Xuexuan ZhaoZhaokui WangGangtie ZhengPublished in: J. Aerosp. Inf. Syst. (2020)
Keyphrases
- combinatorial optimization
- reinforcement learning
- fitted q iteration
- combinatorial optimization problems
- traveling salesman problem
- network architecture
- optimization problems
- simulated annealing
- branch and bound algorithm
- metaheuristic
- combinatorial problems
- branch and bound
- mathematical programming
- quadratic assignment problem
- scheduling algorithm
- function approximation
- learning algorithm
- scheduling problem
- job shop scheduling problem
- neural network
- remote sensing
- supply chain management
- vehicle routing problem
- graph theory
- max flow min cut
- markov decision processes
- memetic algorithm
- dynamic programming
- precedence constraints
- exact algorithms
- optimal policy
- learning classifier systems
- worst case
- particle swarm optimization
- combinatorial search
- hard combinatorial optimization problems
- knapsack problem