Cargando…
Heuristics for Two Depot Heterogeneous Unmanned Vehicle Path Planning to Minimize Maximum Travel Cost
A solution to the multiple depot heterogeneous traveling salesman problem with a min-max objective is in great demand with many potential applications of unmanned vehicles, as it is highly related to a reduction in the job completion time. As an initial idea for solving the min-max multiple depot he...
Autores principales: | Bae, Jungyun, Chung, Woojin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603683/ https://www.ncbi.nlm.nih.gov/pubmed/31146430 http://dx.doi.org/10.3390/s19112461 |
Ejemplares similares
-
Heuristic Q-learning based on experience replay for three-dimensional path planning of the unmanned aerial vehicle
por: Xie, Ronglei, et al.
Publicado: (2019) -
Complex Environment Path Planning for Unmanned Aerial Vehicles
por: Zhang, Jing, et al.
Publicado: (2021) -
An Improved Genetic Algorithm for Path-Planning of Unmanned Surface Vehicle
por: Xin, Junfeng, et al.
Publicado: (2019) -
An Improved Equilibrium Optimizer with Application in Unmanned Aerial Vehicle Path Planning
por: Tang, An-Di, et al.
Publicado: (2021) -
Differential-Evolution Control Parameter Optimization for Unmanned Aerial Vehicle Path Planning
por: Kok, Kai Yit, et al.
Publicado: (2016)