Per-instance algorithm configuration: from meta-learning to multi-objective decomposition
The search for the best algorithm and its configuration is a difficult task on most optimization scenarios, especially on NP-hard problems, since different proposed metaheuristics exist, and testing many parameters demands high computational costs. Moreover, the understanding of such parameters and...
| Autor principal: | Pavelski, Lucas Marcondes |
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| Formato: | Tese |
| Idioma: | Inglês |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2022
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/27906 |
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