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Listar por autor "Juan Pérez, Ángel Alejandro"

Mostrando ítems 1-20 de 81

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A Biased-Randomized Discrete Event Algorithm to Improve the Productivity of Automated Storage and Retrieval Systems in the Steel Industry

Neroni, Mattia; Bertolini, Massimo; Juan, Angel A. (MDPI AG, 2024-01)

[EN] In automated storage and retrieval systems (AS/RSs), the utilization of intelligent algorithms can reduce the makespan required to complete a series of input/output operations. This paper introduces a simulation ...
A biased-randomized discrete-event heuristic for coordinated multi-vehicle container transport across interconnected networks

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 ...
A biased-randomized iterated local search for the vehicle routing problem with optional backhauls

Londoño, Julio C.; Tordecilla, Rafael D.; do C. Martins, Leandro; Juan, Angel A. (Springer-Verlag, 2021-07)

[EN] The vehicle routing problem with backhauls integrates decisions on product delivery with decisions on the collection of returnable items. In this paper, we analyze a scenario in which collection of items is optional-but ...
A clustering-based review on project portfolio optimization methods

Saiz, Miguel; Lostumbo, Marisa A.; Juan, Angel A.; Lopez-Lopez, David (Blackwell Publishing, 2022-01)

[EN] Project portfolio management and optimization constitutes a critical activity for organizations in different industrial sectors and business. The scientific literature in this subject is extremely vast, which makes ...
A Fuzzy Simheuristic for the Permutation Flow Shop Problem under Stochastic and Fuzzy Uncertainty

Castaneda, Juliana; Martín, Xabier A.; Ammouriova, Majsa; Panadero, Javier; Juan, Angel A. (MDPI AG, 2022-05)

[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 ...
A Hybrid Simulation and Reinforcement Learning Algorithm for Enhancing Efficiency in Warehouse Operations

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 ...
A Learnheuristic Algorithm Based on Thompson Sampling for the Heterogeneous and Dynamic Team Orienteering Problem

Uguina, Antonio R.; Gomez, Juan F; Panadero, Javier; Martínez-Gavara, Anna; Juan, Angel A. (MDPI AG, 2024-06)

[EN] The team orienteering problem (TOP) is a well-studied optimization challenge in the field of Operations Research, where multiple vehicles aim to maximize the total collected rewards within a given time limit by visiting ...
A Learnheuristic Algorithm for the Capacitated Dispersion Problem with Dynamic Conditions

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 ...
A Real-Time Energy-Saving Mechanism in Internet of Vehicles Systems

Cesarano, Luca; Croce, Andrea; Martins, Leandro do C.; Tarchi, Daniele; Juan, Angel A. (Institute of Electrical and Electronics Engineers, 2021)

[EN] Emerging technologies, such as self-driving cars and 5G communications, are raising new mobility and transportation possibilities in smart and sustainable cities, bringing to a new echo-system often referred to as ...
A Sim-Learnheuristic for the Team Orienteering Problem: Applications to Unmanned Aerial Vehicles

Peyman, Mohammad; Martín-Solano, Xabier Andoni; Panadero, Javier; Juan, Angel A. (MDPI AG, 2024-05)

[EN] In this paper, we introduce a novel sim-learnheuristic method designed to address the team orienteering problem (TOP) with a particular focus on its application in the context of unmanned aerial vehicles (UAVs). Unlike ...
A simheuristic algorithm for solving the permutation flow shop problem with stochastic processing times

Juan, Angel A.; Barrios, Barry B.; Vallada Regalado, Eva; Riera, Daniel; Jorba, Josep (Elsevier, 2014-08)

This paper describes a simulation optimization algorithm for the Permutation Flow shop Problem with Stochastic processing Times (PFSPST). The proposed algorithm combines Monte Carlo simulation with an Iterated Local ...
A simheuristic algorithm for the capacitated location routing problem with stochastic demands

Quintero-Araujo, Carlos L.; Guimarans, Daniel; Juan, Angel A. (Taylor & Francis, 2021-07-03)

[EN] The capacitated location routing problem (CLRP) integrates a facility location problem with a multi-depot vehicle routing problem. We consider the CLRP with stochastic demands, whose specific values are only revealed ...
A simheuristic algorithm for the portfolio optimization problem with random returns and noisy covariances

Kizys, Renatas; Doering, Jana; Juan, Angel A.; Polat, Onur; Calvet, Laura; Panadero, Javier (Elsevier, 2022-03)

[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 ...
A simheuristic algorithm for the stochastic permutation flow-shop problem with delivery dates and cumulative payoffs

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 ...
A strategic oscillation simheuristic for the Time Capacitated Arc Routing Problem with stochastic demands

Keenan, Peter; Panadero, Javier; Juan, Angel A.; Martí, Rafael; McGarraghy, Sean (Elsevier, 2021-09)

[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 ...
Agile optimization for a real-time facility location problem in Internet of Vehicles networks

Martins, Leandro do C.; Tarchi, Daniele; Juan, Angel A.; Fusco, Alessandro (John Wiley & Sons, 2022-06)

[EN] The uncapacitated facility location problem (UFLP) is a popular NP-hard optimization problem that has been traditionally applied to logistics and supply networks, where decisions are difficult to reverse. However, ...
Agile optimization of a two-echelon vehicle routing problem with pickup and delivery

do C. Martins, Leandro; Hirsch, Patrick; Juan, Angel A. (Blackwell Publishing, 2021-01)

[EN] In this paper, we consider a vehicle routing problem in which a fleet of homogeneous vehicles, initially located at a depot, has to satisfy customers' demands in a two-echelon network: first, the vehicles have to visit ...
Allocation of applications to Fog resources via semantic clustering techniques: with scenarios from intelligent transportation systems

Xhafa, Fatos; Aly, Alhassan; Juan, Angel A. (Springer-Verlag, 2021-03)

[EN] The fast development in IoT and Cloud technologies has propelled the emergence of a variety of computing paradigms, among which Fog and Edge computing are salient computing technologies. Such new paradigms are opening ...
An Agile and Reactive Biased-Randomized Heuristic for an Agri-Food Rich Vehicle Routing Problem

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; ...
Analyzing Key Performance Indicators for Mobility Logistics in Smart and Sustainable Cities: A Case Study Centered on Barcelona

Soriano-González, Raquel; Pérez Bernabeu, Elena; Ahsini, Yusef; Carracedo-Garnateo, Patricia; Camacho-García, Andrés; Juan, Angel A. (MDPI AG, 2023-10-16)

[EN] Background: This article identifies and examines key performance indicators (KPIs) related to citizen mobility logistics in smart and sustainable urban areas. It begins with a comprehensive literature review to identify ...