| Makale Türü |
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| Dergi Adı | RAIRO Operations Research (Q3) | ||
| Dergi ISSN | 2804-7303 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 09-2025 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-09-2025 |
| Cilt / Sayı / Sayfa | 59 / 5 / 3169–3205 | DOI | 10.1051/ro/2025119 |
| Makale Linki | https://doi.org/10.1051/ro/2025119 | ||
| UAK Araştırma Alanları |
Makine Öğrenmesi
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| Özet |
| In recent years, new routing problems with high complexity have emerged in parallel with the diversification of collaborative operational activities carried out by drones with ground vehicles. There are two main factors that affect the complexity level of these new generation routing problems. The first factor is the synchronization of vehicles with very different characteristics to optimally perform operational tasks. The second factor is that unlike traditional routing problems such as transportation and logistics, healthcare, military and emergency operations, new generation problems have more complex objective and constraint spaces. In traditional routing problems, customers are represented by fixed points in a two-dimensional search space. In contrast, in agricultural spraying, which is a new generation routing problem, the areas to be sprayed are represented by irregular areas. The objective and constraint functions in … |
| Anahtar Kelimeler |
| agriculture | Drone-truck combined operations | literature review | routing optimization |
| Atıf Sayıları | |
| Web of Science | 3 |
| Scopus | 4 |
| Google Scholar | 5 |
| Dergi Adı | RAIRO-OPERATIONS RESEARCH |
| Kısa Adı | RAIRO-OPER RES |
| Yayıncı | EDP SCIENCES S A |
| Açık Erişim | Hayır |
| ISSN | 0399-0559 |
| E-ISSN | 2804-7303 |
| Wos Quartile | Q3 |
| Scopus Quartile | Q3 |
| Tarandığı Indeksler | SCIE , Scopus |
| WoS Kategoriler | OPERATIONS RESEARCH & MANAGEMENT SCIENCE |
| Scopus Kategoriler | COMPUTER SCIENCE APPLICATIONS | MANAGEMENT SCIENCE AND OPERATIONS RESEARCH | THEORETICAL COMPUTER SCIENCE |