Better solutions for the Thesis Defense Timetabling problem using a three-phase approach
Author:
Affiliation:
1. University of Ioannina, Greece
Funder
Dioni: Computing Infras- tructure for Big-Data Processing and Analysis?
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3575879.3575967
Reference13 articles.
1. João Almeida , Daniel Rebelo dos Santos, and José Rui Figueira . 2022 . A Multi-Objective Model for Thesis Defence Scheduling . arXiv preprint arXiv:2205.07727(2022). João Almeida, Daniel Rebelo dos Santos, and José Rui Figueira. 2022. A Multi-Objective Model for Thesis Defence Scheduling. arXiv preprint arXiv:2205.07727(2022).
2. Modelling and solving the thesis defense timetabling problem
3. A Multi-Objective Approach for Master’s Thesis Committees Scheduling Using DMEA
4. Sara Ceschia Luca Di Gaspero and Andrea Schaerf. 2022. Educational timetabling: Problems benchmarks and state-of-the-art results. European Journal of Operational Research(2022). Sara Ceschia Luca Di Gaspero and Andrea Schaerf. 2022. Educational timetabling: Problems benchmarks and state-of-the-art results. European Journal of Operational Research(2022).
5. A Survey of University Course Timetabling Problem: Perspectives, Trends and Opportunities
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1. Finding Near Optimal Solutions to the Thesis Defense Timetabling Problem by Exploiting Symmetries;Operations Research Forum;2024-07-20
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