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https://hdl.handle.net/10216/132808| Author(s): | André João Pereira Alves de Sousa |
| Title: | Self-adaptive optimization algorithms using machine learning for the capacitated vehicle routing problem |
| Issue Date: | 2020-07-15 |
| Description: | This project is centered on an Artificial Intelligence based algorithm that is able to identify and propose the best course of action in the resolution of a classical optimization problem the Capacitated Vehicle Routing Problem. It aims to be competitive against state-of-the-art methods and commercial solvers in the achievement of a good solution for the available benchmark instances. |
| Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.34626/7g55-aa68 |
| TID identifier: | 202588386 |
| URI: | https://hdl.handle.net/10216/132808 |
| Document Type: | Dissertação |
| Rights: | openAccess |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 411603.pdf | Self-adaptive optimization algorithms using machine learning for the Capacitated Vehicle Routing Problem | 1.63 MB | Adobe PDF |  View/Open |
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