Arnau, Quim; Barrena, Eva; Panadero, Javier; Torre-Martínez, María Rocío de la; Juan, Angel A.(Elsevier, 2022-10-01)
[EN]
Modern transport systems are not only large-scale but also highly dynamic, which makes it difficult to optimize by just employing classical methods. This paper analyzes a realistic and novel problem within the Physical ...
[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 ...
Leon, Jonas F.; Li, Yuda; Martin, Xabier A.; Calvet, Laura; Panadero, Javier; Juan, Angel A.(MDPI AG, 2023-09)
[EN] The use of simulation and reinforcement learning can be viewed as a flexible approach to aid managerial decision-making, particularly in the face of growing complexity in manufacturing and logistic systems. Efficient ...
Gómez, Juan F.; Uguina, Antonio R.; Panadero, Javier; Juan, Angel A.(MDPI AG, 2023-12)
[EN] The capacitated dispersion problem, which is a variant of the maximum diversity problem, aims to determine a set of elements within a network. These elements could symbolize, for instance, facilities in a supply chain ...
[EN] The goal of the portfolio optimization problem is to minimize risk for an expected portfolio return by allocating weights to included assets. As the pool of investable assets grows, and additional constraints are ...
Villarinho, Pedro A.; Panadero, Javier; Pessoa, Luciana S.; Juan, Angel A.; Oliveira, Fernando L. Cyrino(Blackwell Publishing, 2021-03)
[EN] This paper analyzes the permutation flow-shop problem with delivery dates and cumulative payoffs (whenever these dates are met) under uncertainty conditions. In particular, the paper considers the realistic situation ...
[EN] The Time Capacitated Arc Routing Problem (TCARP) extends the classical Capacitated Arc Routing Problem by considering time-based capacities instead of traditional loading capacities. In the TCARP, the costs associated ...
Tordecilla, Rafael D.; Copado-Méndez, Pedro J.; Panadero, Javier; Martins, Leandro do C.; Juan, Angel A.(Elsevier, 2021-12-08)
[EN] Operational problems in agri-food supply chains usually show characteristics that are scarcely addressed by traditional academic approaches. These characteristics make an already NP-hard problem even more challenging; ...
[EN] Nowadays, several alternatives to internal combustion engines are being proposed in
order to reduce CO2 emissions in freight transportation and citizen mobility. According to many
experts, the use of electric vehicles ...
Tordecilla, Rafael D.; Copado-Méndez, Pedro J.; Panadero, Javier; Quintero-Araujo, Carlos L.; Montoya-Torres, Jairo R.; Juan, Angel A.(MDPI AG, 2021-02)
[EN] The location routing problem integrates both a facility location and a vehicle routing problem. Each of these problems are NP-hard in nature, which justifies the use of heuristic-based algorithms when dealing with ...
[EN] In the team orienteering problem, a fixed fleet of vehicles departs from an origin depot towards a destination, and each vehicle has to visit nodes along its route in order to collect rewards. Typically, the maximum ...
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] Purpose For any given customer, his/her profitability for a business enterprise can be estimated by the so-called customer lifetime value (CLV). One specific goal for many enterprises consists in maximizing the ...
[EN] Vehicular ad hoc networks (VANETs) are a fundamental component of intelligent transportation systems in smart cities. With the support of open and real-time data, these networks of inter-connected vehicles constitute ...
[EN] Mobility and transportation activities in smart cities require an increasing amount of energy. With the frequent energy crises arising worldwide and the need for a more sustainable and environmental friendly economy, ...
[EN] Background: Uncertainty conditions have been increasingly considered in optimization problems arising in real-life transportation and logistics activities. Generally, the analysis of complex systems in these ...
Tordecilla, Rafael D.; Juan, Angel A.; Montoya-Torres, Jairo R.; Quintero-Araujo, Carlos L.; Panadero, Javier(Elsevier, 2021-01)
[EN] The design of supply chain networks (SCNs) aims at determining the number, location, and capacity of production facilities, as well as the allocation of markets (customers) and suppliers to one or more of these ...
[EN] n the field of logistics and transportation (L&T), this paper reviews the utilization of simheuristic algorithms to address NP-hard optimization problems under stochastic uncertainty. Then, the paper explores an ...
[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 ...