Publicação
Simulator of a Multi-objective Optimization Model for Document Translation Services
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | |
| datacite.subject.sdg | 08:Trabalho Digno e Crescimento Económico | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.advisor | Vanneschi, Leonardo | |
| dc.contributor.author | Gomes, Sofia Santos | |
| dc.date.accessioned | 2026-07-03T14:00:44Z | |
| dc.date.available | 2026-07-03T14:00:44Z | |
| dc.date.issued | 2026-06-26 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science | |
| dc.description.abstract | This thesis explores the assignment problem in document translation services from a multi-objective perspective. In this context, assignment decisions consider more than just cost. They also impact expected quality, request coverage, and how work is divided among translators. To examine this issue, a simulation framework was created to compare three assignment methods: a baseline strategy, a greedy heuristic, and the NSGA-II algorithm. The results indicate that each method has different trade-offs. The baseline method guarantees full coverage but performs worse in cost and quality. The greedy heuristic achieves the highest average quality, but it has lower coverage and a more concentrated workload. NSGA-II offers the best overall performance by maintaining full coverage while improving cost management, quality, and workload distribution. These findings suggest that assignments in document translation services should be viewed as a multi-objective decision problem, not just a simple matching task. Although this study relies on a simplified simulator and uses proxy measures for quality and time, it highlights the importance of considering multiple objectives when designing assignment strategies for translation services. | eng |
| dc.identifier.uri | http://hdl.handle.net/10362/204319 | |
| dc.language.iso | eng | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | document translation services | |
| dc.subject | assignment problem | |
| dc.subject | multi-objective optimization | |
| dc.subject | NSGA-II | |
| dc.subject | simulation | |
| dc.title | Simulator of a Multi-objective Optimization Model for Document Translation Services | eng |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| thesis.degree.name | Mestrado em Ciência de Dados e Métodos Analíticos Avançados, especialização em Data Science |