A carregar...
Publicação
Simulator of a Multi-objective Optimization Model for Document Translation Services
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.7 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
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.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
Palavras-chave
document translation services assignment problem multi-objective optimization NSGA-II simulation