Listar por autor "Juan, Ángel A."

Electric vehicle routing, arc routing, and team orienteering problems in sustainable transportation

Carmo Martins, Leandro do; Tordecilla, Rafael D.; Castaneda, Juliana; Juan, Ángel A.; Faulín Fajardo, Javier

(MDPI, 2021) Artículo / Artikulua

The increasing use of electric vehicles in road and air transportation, especially in last-mile delivery and city mobility, raises new operational challenges due to the limited capacity of electric batteries. These limitations ...

Optimizing airline crew scheduling using biased randomization: a case study

Agustín Martín, Alba; Gruler, Aljoscha; Armas, Jesica de; Juan, Ángel A. (Springer, 2016) Contribución a congreso / Biltzarrerako ekarpena

Various complex decision making problems are related to airline planning. In the competitive airline industry, ecient crew scheduling is hereby of major practical importance. This paper presents a metaheuristic approach ...

Simheuristics: an introductory tutorial

Juan, Ángel A.; Li, Yuda; Ammouriova, Majsa; Panadero, Javier; Faulín Fajardo, Javier

(IEEE, 2022) Contribución a congreso / Biltzarrerako ekarpena

Both manufacturing and service industries are subject to uncertainty. Probability techniques and simulation methods allow us to model and analyze complex systems in which stochastic uncertainty is present. When the goal ...

Simulation-optimization in logistics, transportation, and SCM

Juan, Ángel A.; Rabe, Markus; Goldsman, David; Faulín Fajardo, Javier

(MDPI, 2021) Libro / Liburua

This is a reprint of articles from the Special Issue published online in the open access journal Algorithms (ISSN 1999-4893) (available at: https://www.mdpi.com/journal/algorithms/special issues/Simulation Optimization). This ...

Solving the stochastic team orienteering problem: comparing simheuristics with the sample average approximation method

Panadero, Javier; Juan, Ángel A.; Ghorbani, Elnaz; Faulín Fajardo, Javier

; Pagès-Bernaus, Adela (Wiley, 2023) Artículo / Artikulua

The team orienteering problem (TOP) is anNP-hardoptimization problem with an increasing number of po-tential applications in smart cities, humanitarian logistics, wildfire surveillance, etc. In the TOP, a fixed fleetof ...

Solving vehicle routing problems under uncertainty and in dynamic scenarios: from simheuristics to agile optimization

Ammouriova, Majsa; Herrera, Erika M.; Neroni, Mattia; Juan, Ángel A.; Faulín Fajardo, Javier

(MDPI, 2023) Artículo / Artikulua

Many real-life applications of the vehicle routing problem (VRP) occur in scenarios subject to uncertainty or dynamic conditions. Thus, for instance, traveling times or customers demands mightMany real-life applications ...