A hybrid deep-learning-metaheuristic framework to approximate discrete road network design problems.
Bahman MadadiGoncalo Homem de Almeida CorreiaPublished in: CoRR (2023)
Keyphrases
- metaheuristic
- deep learning
- tabu search
- optimization problems
- simulated annealing
- approximation algorithms
- combinatorial optimization
- network design problem
- multi objective
- search space
- ant colony optimization
- machine learning
- neural network
- worst case
- upper bound
- unsupervised learning
- reinforcement learning
- image segmentation
- genetic algorithm
- mixed integer
- weakly supervised