Global search in combinatorial optimization using reinforcement learning algorithms.
Victor V. MiagkikhWilliam F. Punch IIIPublished in: CEC (1999)
Keyphrases
- global search
- combinatorial optimization
- reinforcement learning algorithms
- simulated annealing
- reinforcement learning
- metaheuristic
- state space
- model free
- markov decision processes
- traveling salesman problem
- genetic algorithm
- combinatorial optimization problems
- global optimization
- convergence speed
- search space
- particle swarm optimization
- reinforcement learning problems
- reinforcement learning methods
- tabu search
- evolutionary algorithm
- learning algorithm
- search algorithm
- function approximation
- benchmark problems
- particle swarm optimization algorithm
- temporal difference
- optimization problems
- genetic algorithm ga
- dynamic environments
- solution space
- reward function
- neural network
- image segmentation
- supervised learning
- particle swarm optimization pso
- exhaustive search
- markov chain
- dynamic programming