Abstract
In the era of commonly available problem-solving tools for, it is especially important to choose the best available method. We use local optima network analysis and machine learning to select appropriate algorithms on the instance-to-instance basis. The preliminary results show that such method can be successfully applied for sufficiently distinct instances and algorithms.
Originalsprache | Englisch |
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Titel | Contemporary Complex Systems and Their Dependability - Proceedings of the 13th International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, 2018 |
Redakteure/-innen | Janusz Kacprzyk, Wojciech Zamojski, Jacek Mazurkiewicz, Jaroslaw Sugier, Tomasz Walkowiak |
Herausgeber (Verlag) | Springer |
Seiten | 83-93 |
Seitenumfang | 11 |
ISBN (Print) | 978-3-319-91445-9 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2019 |
Veranstaltung | International Conference on Dependability and Complex Systems DepCoS-RELCOMEX - Brunów, Polen Dauer: 2 Juli 2018 → 6 Juli 2018 http://depcos.pwr.wroc.pl/ |
Publikationsreihe
Name | Advances in Intelligent Systems and Computing |
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Band | 761 |
ISSN (Print) | 2194-5357 |
Konferenz
Konferenz | International Conference on Dependability and Complex Systems DepCoS-RELCOMEX |
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Land/Gebiet | Polen |
Ort | Brunów |
Zeitraum | 02.07.2018 → 06.07.2018 |
Internetadresse |
Schlagwörter
- algorithm selection
- local optima networks
- traveling salesman
- fitness landscape