| Journal of computer sciences | |
| A Randomized Population Constructive Heuristic for the Team Orienteering Problem | |
| Zettam, Manal1  | |
| 关键词: Orienteering Problem; Team Orienteering Problem; Population-Based Meta-Heuristic; | |
| DOI : 10.3844/jcssp.2017.440.451 | |
| 学科分类:计算机科学(综合) | |
| 来源: Science Publications | |
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【 摘 要 】
The NP-hard (complete) team orienteering problem is a particular vehicle routing problem with the aim of maximizing the profits gained from visiting control points without exceeding a travel cost limit. The team orienteering problem has a number of applications in several fields such as athlete recruiting, technician routing and tourist trip. Therefore, solving optimally the team orienteering problem would play a major role in logistic management. In this study, a novel randomized population constructive heuristic is introduced. This heuristic constructs a diversified initial population for population-based metaheuristics. The heuristics proved its efficiency. Indeed, experiments conducted on the well-known benchmarks of the team orienteering problem show that the initial population constructed by the presented heuristic wraps the best-known solution for 131 benchmarks and good solutions for a great number of benchmarks.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201902010354578ZK.pdf | 174KB |
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