A machine learning-based branch and price algorithm for a sampled vehicle routing problem.
Nikolaus FurianMichael J. O'SullivanCameron G. WalkerEranda ÇelaPublished in: OR Spectr. (2021)
Keyphrases
- machine learning
- benchmark problems
- cost function
- vehicle routing problem
- dynamic programming
- vehicle routing problem with time windows
- combinatorial optimization
- worst case
- simulated annealing
- memetic algorithm
- np hard
- particle swarm optimization
- metaheuristic
- computational complexity
- routing problem
- neural network
- probabilistic model
- optimization problems
- tabu search
- objective function
- genetic algorithm
- max min