Cargando…
A Hybrid Brain Storm Optimization Algorithm for Dynamic Vehicle Routing Problem
The Dynamic Vehicle Routing Problem (DVRP) has many real-world applications and practical values. The objective of DVRP is to find the optimal routes for a fleet of vehicles to service the given customer requests, without violating the vehicle capacity constraint. In this paper, a hybrid algorithm i...
Autores principales: | Liu, Mingde, Shen, Yang, Shi, Yuhui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354831/ http://dx.doi.org/10.1007/978-3-030-53956-6_23 |
Ejemplares similares
-
Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem
por: Yue, Yi-xiang, et al.
Publicado: (2015) -
Brain storm optimization algorithms: concepts, principles and applications
por: Cheng, Shi, et al.
Publicado: (2019) -
New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem
por: Borowski, Michał, et al.
Publicado: (2020) -
BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy
por: Qu, Liang, et al.
Publicado: (2020) -
Bio-inspired algorithms for the vehicle routing problem
por: Tavares, Jorge, et al.
Publicado: (2008)