Analyzing the computing time to solve single row facility layout problems by simulated annealing in a Python framework
dc.contributor.author | Miccoli, Alexandre | |
dc.contributor.author | Hanne, Thomas | |
dc.contributor.author | Dornberger, Rolf | |
dc.date.accessioned | 2025-03-07T12:18:15Z | |
dc.date.issued | 2023 | |
dc.description.abstract | The goal of this paper is to assess the Python computing time to solve a single row facility layout problem (SRFLP) by Simulated Annealing. The optimization problem is introduced, systematically modelled and then optimized numerically using a particular Python framework. The computing time and the results of experiments with various problem sizes and parameters are analyzed and discussed. | |
dc.description.uri | https://www.ismsi.org/ismsi2023.html | |
dc.event | 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence | |
dc.event.end | 2023-04-24 | |
dc.event.start | 2023-04-23 | |
dc.identifier.doi | https://doi.org/10.1145/3596947.3596953 | |
dc.identifier.isbn | 978-1-4503-9992-0 | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/48176 | |
dc.identifier.uri | https://doi.org/10.26041/fhnw-10891 | |
dc.language.iso | en | |
dc.publisher | ACM | |
dc.relation.ispartof | Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.spatial | New York | |
dc.subject.ddc | 330 - Wirtschaft | |
dc.title | Analyzing the computing time to solve single row facility layout problems by simulated annealing in a Python framework | |
dc.type | 04B - Beitrag Konferenzschrift | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.ReviewType | Anonymous ex ante peer review of a complete publication | |
fhnw.affiliation.hochschule | Hochschule für Wirtschaft FHNW | de_CH |
fhnw.affiliation.institut | Institut für Wirtschaftsinformatik | de_CH |
fhnw.openAccessCategory | Hybrid | |
fhnw.pagination | 66-72 | |
fhnw.publicationState | Published | |
relation.isAuthorOfPublication | 2bbac69c-8f5f-4248-b3b7-0c3f5792157d | |
relation.isAuthorOfPublication | 35d8348b-4dae-448a-af2a-4c5a4504da04 | |
relation.isAuthorOfPublication | 64196f63-c326-4e10-935d-6776cc91354c | |
relation.isAuthorOfPublication.latestForDiscovery | 2bbac69c-8f5f-4248-b3b7-0c3f5792157d |
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