# A novel reinforcement learning-based hyper-heuristic for heterogeneous vehicle routing problem

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-reinforcement-learning-based-hyper-heuristic-for-heterogeneous-vehicle/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Wei Qin,Zilong Zhuang,Zizhao Huang,Haozhe Huang |
| Citations | 134 |
| DOI | 10.1016/j.cie.2021.107252 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3136908367 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Wei Qin](https://scholariq.org/researchers/wei-qin-2/)
- [Zilong Zhuang](https://scholariq.org/researchers/zilong-zhuang/)

## Paper journal

- [Computers & Industrial Engineering](https://scholariq.org/journals/computers-and-industrial-engineering/)

## Paper primary topic

- [Vehicle Routing Optimization Methods](https://scholariq.org/topics/vehicle-routing-optimization-methods/)

## Paper topics

- [Vehicle Routing Optimization Methods](https://scholariq.org/topics/vehicle-routing-optimization-methods/)
- [Transportation and Mobility Innovations](https://scholariq.org/topics/transportation-and-mobility-innovations/)
- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.