Joint optimization of customer location clustering and drone-based routing for last-mile deliveries
• New optimization problem for last-mile delivery using multiple drones and a truck. • Integrated approach for customer location clustering and truck-drone routing. • Mathematical models for minimizing cost and delivery completion time are provided. • Truck stops for drone dispatch can be a customer...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Salama, Mohamed [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Umfang: |
23 |
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| Übergeordnetes Werk: |
Enthalten in: Dithiocarbamate-calix[4]arene functionalized gold nanoparticles as a selective and sensitive colorimetric probe for assay of metsulfuron-methyl herbicide - Rohit, Jigneshkumar V. ELSEVIER, 2016, an international journal : a journal affiliated with IFAC, the International Federation of Automatic Control, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:114 ; year:2020 ; pages:620-642 ; extent:23 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.trc.2020.01.019 |
|---|
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ELV050062158 |
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| 520 | |a • New optimization problem for last-mile delivery using multiple drones and a truck. • Integrated approach for customer location clustering and truck-drone routing. • Mathematical models for minimizing cost and delivery completion time are provided. • Truck stops for drone dispatch can be a customer or non-customer location. • Efficient machine learning-based heuristic proposed to accelerate solution time. | ||
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