A genetic-algorithm-based approach to the two-echelon capacitated vehicle routing problem with stochastic demands in logistics service.
Kangzhou WangShulin LanYingxue ZhaoPublished in: J. Oper. Res. Soc. (2017)
Keyphrases
- vehicle routing problem with stochastic demands
- supply chain
- genetic algorithm
- logistics service
- service level
- fuzzy logic
- artificial neural networks
- evolutionary algorithm
- neural network
- genetic algorithm ga
- multi objective
- lead time
- fitness function
- metaheuristic
- multi population
- multi objective optimization
- multi item
- ant colony optimization
- encoding scheme
- genetic operators
- genetic programming
- simulated annealing
- probabilistic model
- data mining