# An Ant System-Assisted Genetic Algorithm For Solving The Traveling Salesman Problem

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-ant-system-assisted-genetic-algorithm-for-solving-the-traveling-salesman/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gaifang Dong,Xueliang Fu,Heru Xue |
| Citations | 15 |
| DOI | 10.4156/ijact.vol4.issue5.20 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2323309765 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Xueliang Fu](https://scholariq.org/researchers/xueliang-fu/)

## Paper journal

- [International Journal of Advancements in Computing Technology](https://scholariq.org/journals/international-journal-of-advancements-in-computing-technology/)

## Paper primary topic

- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)

## Paper topics

- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)
- [Vehicle Routing Optimization Methods](https://scholariq.org/topics/vehicle-routing-optimization-methods/)
- [Advanced Multi-Objective Optimization Algorithms](https://scholariq.org/topics/advanced-multi-objective-optimization-algorithms/)

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