Proposal for Improvement of GRASP Metaheuristic and Genetic Algorithm Using the Q-Learning Algorithm.
Francisco Chagas de LimaJorge Dantas de MeloAdrião Duarte Dória NetoPublished in: ISDA (2007)
Keyphrases
- metaheuristic
- tabu search
- genetic algorithm
- learning algorithm
- simulated annealing
- ant colony optimization
- optimization problems
- scatter search
- path relinking
- combinatorial optimization
- solution space
- feasible solution
- search space
- vehicle routing problem
- memetic algorithm
- iterated local search
- job shop scheduling problem
- optimal solution
- optimization method
- multi start
- hybrid metaheuristic
- heuristic methods
- back propagation
- grasp with path relinking
- multi objective
- fitness function
- harmony search
- particle swarm optimization
- benchmark instances
- reinforcement learning
- genetic operators
- artificial neural networks
- evolutionary algorithm
- machine learning
- aco algorithm
- max sat
- objective function
- evolutionary computation
- neural network
- multi objective optimization
- hybrid algorithm
- explore the search space
- traveling salesman problem
- metaheuristic algorithms
- ant colony optimisation
- greedy randomized adaptive search procedure
- nature inspired
- mutation operator
- crossover operator
- swarm intelligence
- genetic programming
- upper bound
- active learning