Heuristic algorithms based on deep reinforcement learning for quadratic unconstrained binary optimization.
Ming ChenYuning ChenYonghao DuLuona WeiYingwu ChenPublished in: Knowl. Based Syst. (2020)
Keyphrases
- reinforcement learning
- optimization problems
- combinatorial optimization
- computational complexity
- learning algorithm
- discrete optimization
- times faster
- data structure
- optimization algorithm
- objective function
- worst case
- search space
- computational cost
- solution quality
- running times
- search algorithm
- heuristic search algorithms
- approximate solutions
- non binary
- heuristic methods
- exhaustive search
- function approximation
- feasible solution
- genetic algorithm
- evolutionary algorithm
- computationally efficient
- multi objective
- dynamic programming
- state space