A reinforcement learning-based metaheuristic algorithm for solving global optimization problems.
Amir SeyyedabbasiPublished in: Adv. Eng. Softw. (2023)
Keyphrases
- metaheuristic
- ant colony optimization
- reinforcement learning
- learning algorithm
- simulated annealing
- dynamic programming
- combinatorial optimization
- optimization algorithm
- search space
- scatter search
- model free
- objective function
- hybrid algorithms
- threshold accepting
- tabu search
- hybrid algorithm
- iterated local search
- optimization method
- particle swarm optimization
- linear programming
- optimization problems
- cost function
- genetic algorithm
- neural network
- convex hull
- convergence rate
- job shop scheduling problem
- minimum spanning tree
- path relinking
- evolutionary algorithm