Angel A. Juan's research while affiliated with Universitat Politècnica de València and other places

Publications (32)

Article
Looking for an accurate and cost-effective solution to measure feed inventories, forecast the feed demand and allow feed suppliers to optimize inventories, production batches, and delivery routes.
Article
Society is facing a series of challenges, as the growth in urban population, the expansion of e-commerce, the pandemic moment (COVID-19), and many others leading to changes in companies’ supply chain, like reducing product delivery time and attention to consumer welfare, the environmental impact, to mention a few. The efficient management of logist...
Chapter
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Chest radiography is one of the most widely used imaging techniques for the detection and diagnosis of lung diseases. However, the correct extraction of information in these images is a tedious and challenging task that depends on the experience of radiologists. Due to this, in recent years, computer-aided diagnostic tools have been implemented to...
Chapter
Fog and Edge computing are opening up new opportunities to implement novel features of mobility, edge intelligence and end-user support. The successful implementation and deployment of Fog layers, as part of Cloud-to-thing-computing, largely depends on optimized allocation of tasks and applications to Fog and Edge nodes. Similarly as in other large...
Article
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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 up new opportunities to implement novel application scenarios, not possible before, by supporting features of mobility, edge intelli...
Article
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Feature selection (FS) was regarded as a global combinatorial optimization problem. FS is used to simplify and enhance the quality of high-dimensional datasets by selecting prominent features and removing irrelevant and redundant data to provide good classification results. FS aims to reduce the dimensionality and improve the classification accurac...
Article
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The techniques of halftoning are widely used in marketing because they reduce the cost of impression and maintain the quality of graphics. Halftoning converts a digital image into a binary image conformed by dots. The output of the halftoning contains less visual information; a possible benefit of this task is the reduction of ink when graphics are...
Article
Many real-life systems in production and transportation logistics are complex, large-scale, and stochastic in nature. As a consequence, simheuristic approaches – which integrate simulation inside a metaheuristic framework – are becoming increasingly popular in the optimization and simulation communities. In a simheuristic algorithm, time-consuming...
Article
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The concepts of unmanned aerial vehicles and self-driving vehicles are gaining relevance inside the smart city environment. This type of vehicles might use ultra-reliable telecommunication systems, Internet-based technologies, and navigation satellite services to decide about the routes they must follow to efficiently accomplish their mission and r...
Article
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In this paper we discuss the team orienteering problem (TOP) with dynamic inputs. In the static version of the TOP, a fixed reward is obtained after visiting each node. Hence, given a limited fleet of vehicles and a threshold time, the goal is to design the set of routes that maximize the total reward collected. While this static version can be eff...
Article
Advances in Internet technologies have made it possible to gather, store, and process large quantities of data, often in real time. When considering smart and sustainable cities, this big data generates useful information and insights to citizens, service providers, and policy makers. Transforming this data into knowledge allows for empowering citi...
Article
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The concept of logistics tender or request for quotation is gaining importance among the logistics and transportation firms. Many long-term and long-distance transportation services are offered now under this type of reverse auction, and firms in the sector have to provide competitive prices if they want to win tenders. This paper explores the appl...
Article
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Soft constraints are quite common in real-life applications. For example, in freight transportation, the fleet size can be enlarged by outsourcing part of the distribution service and some deliveries to customers can be postponed as well; in inventory management, it is possible to consider stock-outs generated by unexpected demands; and in manufact...
Article
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Globalization and advances in information and communication technologies have boosted the use of Horizontal Cooperation (HC) practices in many industry sectors. In the current international market, these 'alliances' become especially relevant for small and medium organizations, which are forced to compete with large-scale corporations. This paper a...
Article
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Freight transportation is becoming an increasingly critical activity for enterprises in a global world. Moreover, the distribution activities have a non-negligible impact on the environment, as well as on the citizens’ welfare. The classical vehicle routing problem (VRP) aims at designing routes that minimize the cost of serving customers using a g...
Article
Recent advances in the telecommunication industry offer great opportunities to citizens and organizations in a globally connected world, but they also arise a vast number of complex challenges that decision makers must face. Some of these challenges can be modeled as combinatorial optimization problems (COPs). Frequently, these COPs are large-size,...
Article
In this paper we propose a Variable Neighborhood Search approach for the Crew Pairing Problem. This problem consist in assigning a crew to each of the flights of a flight scheduling, in a predefined time horizon. The main objective of the problem is to minimize the number of cabin crews needed to cover all the flights subject to a set of constraint...
Article
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Modern heuristics or metaheuristics are optimization algorithms that have been increasingly used during the last decades to support complex decision-making in a number of fields, such as logistics and transportation, telecommunication networks, bioinformatics, finance, and the like. The continuous increase in computing power, together with advancem...
Article
This paper analyzes the fleet mixed vehicle-routing problem with backhauls, a rich and realistic variant of the popular vehicle-routing problem in which both delivery and pick-up customers are served from a central depot using a heterogeneous and configurable fleet of vehicles. After a literature review on the issue and a detailed description of th...
Article
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This article presents the main results obtained during the development of the research project [email protected], contextualized in secondary education. The main purpose of this research is to identify those factors which in the opinion of teachers are more relevant when it comes to mainstream Information Technologies and Communication Technologies...
Article
The location routing problem (LRP) involves the three key decision levels in supply chain design, that is, strategic, tactical, and operational levels. It deals with the simultaneous decisions of (a) locating facilities (e.g., depots or warehouses), (b) assigning customers to facilities, and (c) defining routes of vehicles departing from and finish...
Conference Paper
In the face of sharp urbanization around the world, metropolitan areas have started different initiatives and projects to make cities more efficient and sustainable. Hereby logistics and transportation activities have a major impact in the development of so called ‘Smart Cities’. By addressing complex decision making problems through simulation and...
Article
Full-text available
Smart cities represent rich and dynamic environments in which a multitude of smart mobile devices (SMDs) interact among them by sharing data. SMDs require from fast access to online services, but they offer limited computing capabilities and battery lifetime. SMDs make frequent use of computation offloading, delegating computing-intensive tasks to...
Article
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In this study, we propose a general agent-based distributed framework where each agent is implementing a different metaheuristic/local search combination. Moreover, an agent continuously adapts itself during the search process using a direct cooperation protocol based on reinforcement learning and pattern matching. Good patterns that make up improv...
Conference Paper
Full-text available
This paper describes a simheuristic to improve urban waste collection processes. Growing city-populations around the world lead to an increased importance of an effective organisation in basic municipal activities such as waste management. The Waste Collection Problem (WCP) can be formulated as a special instance of the well-known Vehicle Routing P...
Chapter
Full-text available
This paper describes a simheuristic to improve urban waste collection processes. Growing city-populations around the world lead to an increased importance of an effective organisation in basic municipal activities such as waste management. The Waste Collection Problem (WCP) can be formulated as a special instance of the well-known Vehicle Routing P...
Conference Paper
The Location Routing Problem (LRP) involves three key decision levels (strategic, tactical, and operational) in logistics systems. In this paper a simulation-based approach is proposed to deal with the LRP, under uncertainty conditions, in an integrated way. This method uses a random choice of the depot and a fast routing heuristic to determine the...
Article
Trade credit refers to providing goods and services on a deferred payment basis. Commercial credit management is a matter of great importance for most small and medium enterprises (SMEs), since it represents a significant portion of their assets. Commercial lending involves assuming some credit risk due to exposure to default. Thus, the management...

Citations

... A mathematical formulation is presented in addition to heuristics to minimize the inventory and logistics costs. Cota et al. (2022) integrated the open vehicle routing problem with cross-dock truck scheduling to minimize the penalties caused by the delays. The problem is formulated as a mixed-integer linear programming model. ...
... The high number of routing packets and the lack of energy consumed to implement AOC in the results report are the disadvantages of this method. In [18], the challenge of assigning user applications (which require high computational capacity) to fog and edge nodes has been considered. Since computational nodes are heterogeneous and have different computational power, semantic clustering of nodes into larger batches and building virtual nodes with higher computational power is a good solution to this challenge. ...
... The top three most popular examples of SI algorithms are Particle Swarm Optimization (PSO) by [19], Ant Colony Optimization (ACO) by [20], and Artificial Bee Colony (ABC) Algorithm by [62]. Some other SI-based algorithms that have their place in the literature regardless of their performance and originality include the Cuckoo Search Algorithm (CS) by [25], Firefly Algorithm (FA) by [63], COOT bird [64], Krill Herd (KH) by [31], Cat Swarm Optimization (CSO) by [65], Bat Algorithm (BA) by [66], Symbiotic Organisms Search (SOS) [67], Grey Wolf Optimizer (GWO) by [32], Moth-Flame Optimization (MFO) Algorithm checked by [68,69], Virus Colony Search (VCS) [70], Whale Optimization Algorithm (WOA)checked by [71,72], Grasshopper Optimization Algorithm (GOA) by [73], Salp Swarm Algorithm by [74,75], Crow Search Algorithm (CSA) reviewed by [76], Symbiotic Organisms Search (SOS) by [77], Reptile Search Algorithm (RSA) by [78], Butterfly Optimization Algorithm (BOA) by [79], Remora Optimization Algorithm (ROA) [80], Wild Horse Optimizer (WHO) [81], Seagull Optimization Algorithm (SOA) by [82], and Ant Lion Optimizer (ALO) reviewed by [83]. The third category is the Physics-based algorithms, which refers to the algorithms inspired from chemical rules or physical phenomena. ...
... Such types of images play a critical role in diagnosis of the COVID-19 side effects. Furthermore, advanced machine learning techniques have shown their great significance progress in addressing many practical applications such as recovering low-rank tensors [12], feature selection [13][14][15], information retrieval [16][17][18][19][20], and computer vision [21,22,22,23,23,24,24,25]. By utilizing the excellent benefits of an advanced machine learning strategy called deep learning with analysis of X-ray and CT images can benefit health care providers with treatment assists for COVID-19, which leads in contributing to higher insights into the virus progresses. ...
... Monte Carlo simulation was integrated with a biased randomized heuristic in Panadero et al. [29], and Panadero et al. [30] combined a saving based heuristic and the variable neighborhood search metaheuristic and integrated them in a simheuristic approach. Furthermore, the dynamic change of customers' reward was investigated by Reyes-Rubiano et al. [31]. For this purpose, a biased randomized heuristic was extended into a learnheuristic. ...
... In Juan et al. [170], the dynamic conditions of smart city environments are jointly addressed in a TOP system. Therefore, dealing with them requires the solving methodology to be able to react to these changes in real-time. ...
... e vehicle transportation scheduling frequency can be expressed as q. Due to the variability of the logistics transportation network of prefabricated building components, the actual value result of this physical quantity is not completely fixed [17]. e starting dispatching position of logistics transportation vehicles for prefabricated building components can be defined as ...
... Examples of simheuristic applications to solve stochastic problems can be found in Juan et al. [6] and Caldeira and Gnanavelbabu [7]. The simheuristic framework described in Rabe et al. [8] handles systems with moderate stochastic uncertainty. However, as discussed in Zadeh [9], stochastic uncertainty constitutes a special case of uncertainty. ...
... The emergence of demand-based economics (services) and e-commerce (products) has exponentially increased the number of T&M operations in urban and metropolitan areas. Thus, T&M activities have a profound effect on the development of so-called smart cities, the scope of which combines sustainable development with intelligent management of real-time data collected through IoT devices (e.g., sensors, cameras, etc.) and analyzed through cloud systems to improve the performance of various services in urban areas [1]. In recent years, city governments have implemented various action plans in order to make cities more energy efficient and environmentally sustainable. ...
... Biased-randomization techniques constitute a simple yet effective way to transform a deterministic heuristic into a probabilistic algorithm [47]. They achieve this goal by using a skewed probability distribution to introduce a non-uniform randomization pattern into a heuristic without destroying the logic behind it. ...