Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem.
Jorge Y. KandaAndré Carlos Ponce de Leon Ferreira de CarvalhoEduardo R. HruschkaCarlos SoaresPublished in: ICMLA (1) (2011)
Keyphrases
- meta learning
- traveling salesman problem
- metaheuristic
- ant colony optimization
- combinatorial optimization
- optimization problems
- combinatorial optimization problems
- inductive learning
- learning tasks
- combinatorial problems
- nature inspired
- simulated annealing
- tabu search
- model selection
- vehicle routing problem
- machine learning algorithms
- ant colony optimization algorithm
- evolutionary algorithm
- search space
- variable neighborhood search
- search methods
- decision trees
- path relinking
- particle swarm optimization
- genetic algorithm
- machine learning
- optimal solution
- optimization method
- swarm intelligence
- traveling salesman
- feature selection
- crossover operator
- benchmark instances
- aco algorithm
- data mining
- base classifiers
- metamodel
- knapsack problem
- cost function
- multi objective
- objective function
- neural network