[EN] Stochastic, as well as fuzzy uncertainty, can be found in most real-world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging. In this paper, we analyze ...
Gómez-Hernández, J. Jaime; Xu, Teng(Springer-Verlag, 2022-02)
[EN] Forty years and 157 papers later, research on contaminant source identification has grown exponentially in number but seems to be stalled concerning advancement towards the problem solution and its field application. ...
Tordecilla, Rafael D.; Martins, Leandro do C.; Panadero, Javier; Copado, Pedro J.; Pérez Bernabeu, Elena; Juan, Angel A.(MDPI AG, 2021-09)
[EN] In the context of logistics and transportation, this paper discusses how simheuristics can be extended by adding a fuzzy layer that allows us to deal with complex optimization problems with both stochastic and fuzzy ...
[EN] Stochastic, as well as fuzzy uncertainty, can be found in most real-world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging. In this paper we propose a ...