Is Transfer Learning Helpful for Neural Combinatorial Optimization Applied to Vehicle Routing Problems?
Ali YaddadenSébastien HarispeMichel VasquezPublished in: Comput. Informatics (2022)
Keyphrases
- combinatorial optimization
- vehicle routing problem
- transfer learning
- metaheuristic
- traveling salesman problem
- combinatorial optimization problems
- optimization problems
- simulated annealing
- neural network
- knowledge transfer
- memetic algorithm
- branch and bound
- labeled data
- tabu search
- ant colony optimization
- combinatorial problems
- branch and bound algorithm
- routing problem
- vehicle routing problem with time windows
- machine learning
- reinforcement learning
- semi supervised learning
- text classification
- machine learning algorithms
- collaborative filtering
- cross domain
- multi task
- approximation algorithms
- k nearest neighbor
- knapsack problem
- active learning
- unlabeled data
- constraint satisfaction
- test instances
- scatter search
- data sets