Zobrazeno 1 - 10
of 719
pro vyhledávání: '"Figueira, José A."'
Multi-objective unconstrained combinatorial optimization problems (MUCO) are in general hard to solve, i.e., the corresponding decision problem is NP-hard and the outcome set is intractable. In this paper we explore special cases of MUCO problems tha
Externí odkaz:
http://arxiv.org/abs/2412.01465
A new multi-objective method for the thesis defence scheduling problem is introduced. The problem involves appointing committees to defences and assigning them to a time slot and room. A multi-objective approach is necessary to provide a better under
Externí odkaz:
http://arxiv.org/abs/2411.16297
This study introduces a hybrid meta-heuristic for generating feasible course timetables in large-scale scenarios. We conducted tests using our university's instances. The current commercial software often struggles to meet constraints and takes hours
Externí odkaz:
http://arxiv.org/abs/2310.20334
Autor:
Zeiträg, Yannik1 (AUTHOR) yannik.zeitrag@tecnico.ulisboa.pt, Rui Figueira, José1 (AUTHOR), Figueira, Gonçalo2 (AUTHOR)
Publikováno v:
International Journal of Production Research. Aug2024, Vol. 62 Issue 16, p5850-5877. 28p.
We address the thesis defence scheduling problem, a critical academic scheduling management process, which has been overshadowed in the literature by its counterparts, course timetabling and exam scheduling. Specifically, the single defence assignmen
Externí odkaz:
http://arxiv.org/abs/2205.07727
Autor:
Guerreiro, Andreia P., Cortes, João, Vanderpooten, Daniel, Bazgan, Cristina, Lynce, Inês, Manquinho, Vasco, Figueira, José Rui
Recently, it has been shown that the enumeration of Minimal Correction Subsets (MCS) of Boolean formulas allows solving Multi-Objective Boolean Optimization (MOBO) formulations. However, a major drawback of this approach is that most MCSs do not corr
Externí odkaz:
http://arxiv.org/abs/2204.06908
Publikováno v:
In Computers and Operations Research December 2024 172
Publikováno v:
In Omega December 2024 129
Publikováno v:
In European Journal of Operational Research 16 November 2024 319(1):246-262