Browsing by Author "Juan Pérez, Ángel Alejandro"
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A biased-randomized discrete-event algorithm for the hybrid flow shop problem with time dependencies and priority constraints
Laroque, Christoph; Leißau, Madlene; Copado Méndez, Pedro Jesús; Schumacher, Christin; Panadero Martínez, Javier; Juan Pérez, Ángel Alejandro (Multidisciplinary Digital Publishing Institute (MDPI), 2022-02-02)
Article
Open AccessBased on a real-world application in the semiconductor industry, this article models and discusses a hybrid flow shop problem with time dependencies and priority constraints. The analyzed problem considers a production ... -
A BRILS metaheuristic for non-smooth flow-shop problems with failure-risk costs
Ferrer Biosca, Alberto; Guimarans, Daniel; Ramalhinho Lourenço, Helena; Juan Pérez, Ángel Alejandro (2016-02-01)
Article
Open AccessThis paper analyzes a realistic variant of the Permutation Flow-Shop Problem (PFSP) by considering a non-smooth objective function that takes into account not only the traditional makespan cost but also failure-risk costs ... -
A multi-start biased-randomized algorithm for the capacitated dispersion problem
Gómez González, Juan Francisco; Panadero Martínez, Javier; Tordecilla Madera, Rafael David; Castañeda Jiménez, Juliana; Juan Pérez, Ángel Alejandro (Multidisciplinary Digital Publishing Institute (MDPI), 2022-07-01)
Article
Open AccessThe capacitated dispersion problem is a variant of the maximum diversity problem in which a set of elements in a network must be determined. These elements might represent, for instance, facilities in a logistics network ... -
A simheuristic for the unmanned aerial vehicle surveillance-routing problem with stochastic travel times and reliability considerations
Panadero, Javier; Juan Pérez, Ángel Alejandro; Serrat Piè, Carles; Grifoll Colls, Manel; Freixes, Alfons (2019)
Conference report
Open AccessIn the unmanned aerial vehicle (UAV) surveillance-routing problem, a limited fleet of UAVs with driving-range limitations have to visit a series of target zones in order to complete a monitoring operation. This operation ... -
A statistical learning based approach for parameter fine-tuning of metaheuristics
Calvet Liñán, Laura; Juan Pérez, Ángel Alejandro; Serrat Piè, Carles; Ries, Jana (2016-06)
Article
Open AccessMetaheuristics are approximation methods used to solve combinatorial optimization problems. Their performance usually depends on a set of parameters that need to be adjusted. The selection of appropriate parameter values ... -
An agile simheuristic for the stochastic team task assignment and orienteering problem: applications to unmanned aerial vehicles
Panadero, Javier; Juan Pérez, Ángel Alejandro; Grifoll Colls, Manel; Dehghanimohamamdabadi, Mohammad; Freixes, Alfons; Serrat Piè, Carles (2020)
Conference report
Open AccessEfficient coordination of unmanned aerial vehicles (UAVs) requires the solving of challenging operational problems. One of them is the integrated team task assignment and orienteering problem (TAOP). The TAOP can be seen ... -
Biased-Randomized Discrete-Event heuristics for dynamic optimization with time dependencies and synchronization
Castañeda Jiménez, Juliana; Neroni, Mattia; Ammouriova, Majsa; Panadero Martínez, Javier; Juan Pérez, Ángel Alejandro (Multidisciplinary Digital Publishing Institute (MDPI), 2022-08-01)
Article
Open AccessMany real-life combinatorial optimization problems are subject to a high degree of dynamism, while, simultaneously, a certain level of synchronization among agents and events is required. Thus, for instance, in ride-sharing ... -
Combining heuristics with simulation and fuzzy logic to solve a flexible-size location routing problem under uncertainty
Tordecilla Madera, Rafael David; Copado Méndez, Pedro Jesús; Panadero Martínez, Javier; Quintero Araujo, Carlos L.; Montoya Torres, Jairo R.; Juan Pérez, Ángel Alejandro (Multidisciplinary Digital Publishing Institute (MDPI), 2021-02)
Article
Open AccessThe 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 large-scale ... -
Current Trends in Simheuristics: from smart transportation to agent-based simheuristics
Estrada-Moreno, Alejandro; Juan Pérez, Ángel Alejandro; Panadero, Javier; Serrat Piè, Carles; Freixes, Alfons (Universidad de Granada, 2018)
Conference lecture
Open AccessSimheuristics extend metaheuristics by adding a simulation layer that allows the optimization component to deal efficiently with scenarios under uncertainty. This presentation reviews both initial as well as recent ... -
Determining reliable solutions for the team orienteering problem with probabilistic delays
Herrera Machado, Erika Magdalena; Panadero Martínez, Javier; Carracedo Garnateo, Patricia; Juan Pérez, Ángel Alejandro; Perez Bernabeu, Elena (Multidisciplinary Digital Publishing Institute (MDPI), 2022-10-01)
Article
Open AccessIn 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 distance ... -
Developing an information system for monitoring student's activity in online collaborative learning
Juan Pérez, Ángel Alejandro; Daradoumis, Thanasis; Faulín Fajardo, Francisco Javier; Xhafa Xhafa, Fatos (Institute of Electrical and Electronics Engineers (IEEE), 2008)
Conference report
Open AccessIn this paper we address the issue of monitoring students’ and groups’ activity in online collaborative learning environments. This issue is especially important in the collaborative e-learning context, since an efficient ... -
Distribution planning in a weather-dependent scenario with stochastic travel times: a simheuristics approach
Estrada-Moreno, Alejandro; Serrat Piè, Carles; Nogal Macho, María; Cavero-Lázaro, Marta; Juan Pérez, Ángel Alejandro (2019-02-04)
Article
Open AccessIn real-life logistics, distribution plans might be affected by weather conditions (rain, snow, and fog), since they might have a significant effect on traveling times and, therefore, on total distribution costs. In this ... -
Distribution planning in a weather-dependent scenario with stochastic travel times: a simheuristics approach
Estrada-Moreno, Alejandro; Serrat Piè, Carles; Nogal Macho, María; Cavero-Lázaro, Marta; Juan Pérez, Ángel Alejandro (IEEE Press, 2018)
Conference report
Open AccessIn real-life logistics, distribution plans might be affected by weather conditions (rain, snow, and fog), since they might have a significant effect on traveling times and, therefore, on total distribution costs. In this ... -
Dynamic reactive assignment of tasks in real-time automated guided vehicle environments with potential interruptions
Martin Solano, Xabier Andoni; Hatami, Sara; Calvet Liñán, Laura; Peyman, Mohammad; Juan Pérez, Ángel Alejandro (2023-03-14)
Article
Open AccessAn efficient management of production plants has to consider several external and internal factors, such as potential interruptions of the ongoing processes. Automated guided vehicles (AGVs) are becoming a widespread ... -
Geometric transformations: Translation, rotation and scaling
Juan Pérez, Ángel Alejandro; Steegmann Pascual, Cristina; Anton Martos, Bernat; Vidal Seguí, Yolanda (Universitat Oberta de Catalunya, 2021-09)
Part of book or chapter of book
Restricted access - publisher's policy -
IoT analytics and agile optimization for solving dynamic team orienteering problems with mandatory visits
Li, Yuda; Peyman, Mohammad; Panadero Martínez, Javier; Juan Pérez, Ángel Alejandro; Xhafa Xhafa, Fatos (2022-03-18)
Article
Open AccessTransport activities and citizen mobility have a deep impact on enlarged smart cities. By analyzing Big Data streams generated through Internet of Things (IoT) devices, this paper aims to show the efficiency of using IoT ... -
Solving the time capacitated arc routing problem under fuzzy and stochastic travel and service times
Martin Solano, Xabier A.; Panadero Martínez, Javier; Peidro Payá, David; Perez Bernabeu, Elena; Juan Pérez, Ángel Alejandro (John Wiley & sons, 2023-12)
Article
Open AccessStochastic, 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 fuzzy ... -
Supporting effective monitoring and knowledge building in online collaborative learning systems
Caballé Llobet, Santiago; Juan Pérez, Ángel Alejandro; Xhafa Xhafa, Fatos (Springer, 2008)
Conference report
Open AccessThis paper aims to report on an experience of using an innovative groupware tool to support real, collaborative learning. We base the success of on-line collaborative learning on extracting relevant knowledge from interaction ... -
Técnicas estadísticas aplicadas a la selección de valores para parámetros de metaheurísticas
Calvet Liñán, Laura; Juan Pérez, Ángel Alejandro; Serrat Piè, Carles (2015)
Conference lecture
Open AccessLa mayoría de metaheurísticas incluyen diversos parámetros que influyen en la calidad de su solución. A pesar de esto, el Problema de Selección de Valores para Parámetros no fue formalmente estudiado hasta finales del ... -
The stochastic team orienteering problem with position-dependent rewards
Panadero Martínez, Javier; Barrena Algara, Eva; Juan Pérez, Ángel Alejandro; Canca Ortiz, Jose David (Multidisciplinary Digital Publishing Institute (MDPI), 2022-08-01)
Article
Open AccessIn this paper, we analyze both the deterministic and stochastic versions of a team orienteering problem (TOP) in which rewards from customers are dynamic. The typical goal of the TOP is to select a set of customers to visit ...