Publications

We tackle a capacitated lot-sizing and scheduling problem (CLSP) with the main objective of minimizing changeover time in the …

La sociedad tan cambiante en la que vivimos ha transformado las metodologías docentes. Este dinamismo ha hecho que las organizaciones …

The Bi-Objective Multiple Row Equal Facility Layout Problem considers both quantitative and qualitative objectives that are very useful …

In human–computer interaction, emotion recognition provides a deeper understanding of the user’s emotions, enabling empathetic and …

Social Networks have been in continuous growing during the last decades. The huge amount of information and applications has led to an …

The quality of software projects is measured by different attributes such as efficiency, security, robustness, or understandability, …

In the last years, many areas in science, business, and engineering have experienced an enormous growth in the amount of data that they …

Metaheuristic algorithms have become one of the preferred approaches for solving optimization problems. Finding the best metaheuristic …

In this work, a neural-network-assisted procedure for transmittance spectral reconstruction from digital images is proposed. This …

Educational escape rooms aims to motivate students, to strengthen knowledge and evaluate learning. Pre-service teachers enrolled in …

In the present work, India’s primary energy use is analysed in terms of four socio-economic variables, including Gross Domestic …

The p-median problem has been widely studied in the literature. However, there are several variants that include new constraints to the …

his work presents an innovative approach to engage student participation through active learning, using the popular online …

We address an optimization problem related to the minimization of the distribution costs associated with product delivery in the oil …

A wide range of environmental impacts have been triggered worldwide by intensive agrarian production designed to maximize crop yields. …

In the area of Search-Based Software Engineering, software engineering issues are formulated and tackled as optimization problems. …

The evolution of Social Networks has introduced significant challenges related to information overload. These challenges are covered in …

Decision-making software is used to automatically make informed decisions by leveraging large amounts of data. Advances in machine …

Contribution: A methodology based on the learning by teaching approach facilitated by a mobile learning tool for creating tutorials. A …

Facility location problems cover a great variety of different real-life scenarios. Among them, it is usual to consider distances …

The Weighted Total Domination Problem (WTDP) belongs to the family of dominating set problems. Given a weighted graph, the WTDP …

El auge de las metodologías activas en educación y su importancia para atender a la diversidad presente en las aulas, se plantea como …

Software quality is of utmost importance for the correct functioning of modern systems. The quality of software projects is measured by …

This paper studies the influence of combining exact algorithms with heuristic procedures for the optimization of the Order Batching …

En el contexto de la modernización educativa y la creciente adopción de aprendizaje a distancia, surge la necesidad de mejorar las …

Optimization has been a constant concern throughout history, from ancient Greeks seeking the most efficient way to organize cities to …

Facility layout problems represent a challenge to the operations research community. These problems are closely related to real-world …

The S-labeling problem is a graph layout problem that assigns numeric labels to the vertices of a graph. It aims to minimize the sum of …

This paper studies the relationship between three linear layout problems: minimum linear arrangement, cutwidth minimization, and …

The Bi-Objective Double Floor Corridor Allocation Problem is one of the most recent incorporation to the family of Facility Layout …

In this paper, a Biased Random Key Genetic Algorithm is proposed to solve the alpha-neighbor p-center problem. A decoder and a local …

Obnoxious facility location problems are devoted to choose the best location for a given set of facilities considering that, despite …

La evolución de las redes sociales ha introducido importantes retos relacionados con la sobrecarga de información. Estos retos abarcan …

This paper introduces a problem that can be seen as a combination of the traveling salesman problem with profits and the traveling …

When an order arrives at a warehouse it is usually assigned to a batch and a decision is made on how long to wait before assigning the …

The vast chemical space of emerging semiconductors, like metal halide perovskites, and their varied requirements for semiconductor …

Social networks are in continuous evolution, and its spreading has attracted the interest of both practitioners and the scientific …

This paper deals with an interesting facility location problem known as the bi-objective p-Median and p-Dispersion problem (BpMD …

In the Software Development Life-Cycle, the maintenance phase is often the most costly stage due to the efforts devoted to …

Order Batching is a family of optimization problems related to the process of picking items in a warehouse as part of supply chain …

The study of Social Network Influence has attracted the interest of scientists. The wide variety of real-world applications of this …

Search-Based Software Engineering is a research area that aims to tackle software engineering tasks as optimization problems. Among the …

Diversity problems are usually studied from a single-objective point of view. However, two or more diversity functions could present …

Optimization is a discipline that addresses the search for the best possible solution, called the optimal solution, to a problem …

Greedy randomized adaptive search procedure (GRASP) is a metaheuristic framework which has been extensively used for solving a wide …

Signed graphs are a particular type of graph, in which the vertices are connected through edges labeled with a positive or negative …

Nowadays, social networks are one of the most important sources of information available on the Internet, since new users and …

A dominating set in a graph is a set of vertices such that every vertex outside the set is adjacent to a vertex in the set. The …

This paper studies the Coverage Location Problem with Interconnected Facilities (CPIF). It belongs to the family of Facility Location …

In this work, we present a new approach for the Parallel Row Ordering Problem (PROP), based on the Scatter Search metaheuristic. The …

Every day, we are bombarded with decisions: how to travel to a specific destination;which foods will make our meal; how to best …

There are several hard combinatorial optimization problems that, in the context of communication networks, must be solved in short …

Finding minimum dominating sets in graphs is a problem that has been widely studied in the literature. However, due to the increase in …

The Bi-Objective Multi-Row Facility Layout Problem is a problem belonging to the family of Facility Layout Problems. This problem is …

Several problems are emerging in the context of communication networks and most of them must be solved in reduced computing time since …

El estudio de la influencia de las redes sociales ha despertado el interés de los científicos. La gran variedad de aplicaciones reales …

Reproducibility of experiments is a complex task in stochastic methods such as evolutionary algorithms or metaheuristics in general. …

Graph layout problems are a family of combinatorial optimization problems that consist of finding an embedding of the vertices of an …

In the last years, a lot of effort was placed into approximated or relaxed models and heuristic and metaheuristic algorithms to solve …

Multimodal optimization deals with problems where multiple feasible global solutions coexist. Despite sharing a common objective …

Diversity and dispersion problems deal with selecting a subset of elements from a given set in such a way that their diversity is …

The minimum load coloring problem consists of finding a 2-coloring function that assign either a color red or blue to each node of a …

Machine Learning (ML) techniques, especially Artificial Neural Networks, have been widely adopted as a tool for malware detection due …

The selection of individuals with similar characteristics from a given population have always been a matter of interest in several …

The recent expansion of electronic commerce has promoted the development of numerous sectors around it. Among these sectors are those …

Diabetes is one of the most common and difficult non-communicable diseases to deal with in our days. People with diabetes need to keep …

In a society where the immediacy is becoming more and more established, there is a need to obtain solutions to real-world problems …

Graph Layout Problems refer to a family of optimization problems where the aim is to assign the vertices of an input graph to the …

Teaching programming is a topic that has generated a high level of interest among researchers in recent decades. In particular, …

Malware is an emerging and popular threat flourishing in the underground economy. The commoditization of Malware-as-a-Service (MaaS) …

La evolución y la difusión de las redes sociales han atraído el interés de la comunidad científica en los últimos años. En concreto, …

El problema de la maxima diversidad ha sido ampliamente estudiado desde diferentes perspectivas, haciendo uso de tecnicas exactas y …

Reducing the bandwidth in a graph is an optimization problem which has generated significant attention over time due to its practical …

The library MDPLIB 2.01 contains 770 instances classified in different subsets according to their source. We consider three sets of …

The challenge of maximizing the diversity of a collection of points arises in a variety of settings, and the growing interest of …

In the age of connectivity, every person is constantly producing large amounts of data every minute: social networks, information about …

The evolution of digital communications has resulted in new services that require from secure and robust connections. Nowadays, a …

This work presents a novel greedy randomized adaptive search procedure approach for dealing with the maximum diversity problem from a …

Forecasting country-wide energy demand is an important activity for determining and progressing towards an energy secure future. In …

The quality of the solutions to a combinatorial optimization problem is usually measured using a mathematical function, named objective …

Several problems related to networks are based on the identification of certain nodes which can be relevant for different tasks: …

Educational Escape Room is an innovative method used in classrooms to motivate students. This article describes a version of …

Transmission Expansion Planning (TEP) aims at identifying a list of new assets to be installed on the transmission grid to meet the …

The Order Processing in Parallel Picking Workstations is an optimization problem that can be found in the industry and is related to …

In this paper we investigate the benefits of applying a multi-objective approach for solving a symbolic regression problem by means of …

As it is well documented in the literature, an effective facility layout design of a company significantly increases throughput, …

The Space-Free Multi-Row Facility Layout problem (SF-MRFLP) seeks for a non-overlapping layout of departments (facilities) on a given …

Crowd logistics is a recent trend that proposes the participation of ordinary people in the distribution process of products and goods. …

The problem of maximizing diversity or dispersion deals with selecting a subset of elements from a given set in such a way that the …

The evolution and spread of social networks have attracted the interest of the scientific community in the last few years. …

Scatter search (SS) is a well-established metaheuristic solution methodology that has seen most of its success in single-objective …

Researchers and practitioners have addressed many variants of facility locations problems. Each location problem can be substantially …

This paper presents a hybridization of Strategic Oscillation with Path Relinking to provide a set of high-quality nondominated …

The Online Order Batching Problem with Multiple Pickers (OOBPMP) consists of optimizing the operations related to the picking process …

Community detection in social networks is becoming one of the key tasks in social network analysis, since it helps analyzing groups of …

The evolution and spread of social networks have attracted the interest of the scientific community in the last few years. …

In the paper we describe the industrial process of hot rolling of steel. In cooperation with ArcelorMittal Poland we consider a …

Social network based applications have experienced exponential growth in recent years. One of the reasons for this rise is that this …

Variable neighborhood search (VNS) is a so-called single-solution based metaheuristic. The main idea behind VNS is the use of …

Massively complex systems, such as social networks (Camacho, Panizo-LLedot, Bello-Orgaz, Gonzalez-Pardo, & Cambria, 2020; …

In this paper we investigate the benefits of applying a multi-objective approach for solving a symbolic regression problem by means of …

This special issue of Networks is dedicated to the seventh conference of the EURO Working Group on Vehicle Routing and Logistics …

Grammatical Swarm is a search and optimization algorithm that belongs to the more general Grammatical Evolution family, which works …

The Band Collocation Problem appears in the context of problems for optimizing telecommunication networks with the aim of solving some …

The objective of this research is to improve the hydrogen production and total profit of a real Steam Reforming plant. Given the …

The Order Processing in Picking Workstations is a real problem derived from the industry in the context of supply chain management. It …

The Cyclic Cutwidth Minimization Problem (CCMP) is a Graph Layout Problem that consists of finding an embedding of the vertices of a …

In this paper, we analyze the population diversity of grammatical evolution (GE) on multiple levels of genetic information: chromosome …

La b´usqueda de la soluci´on ´optima a un problema de optimizaci´on ha sido el objetivo de generaciones de investigadores. El …

In the last few years, the application of decision making to logistic problems has become crucial for public and private organizations. …

Radicalization, as a violent form of extremism, is a growing problem for Europe. Currently, it is possible to find extreme ideologies …

The Online Order Batching Problem (OOBP) is a variant of the well-known Order Batching Problem (OBP). As in the OBP, the goal of this …

Warehousing includes many different regular activities such as receiving, batching, picking, packaging, and shipping goods. Several …

In recent years, the relevance of cybersecurity has been increasingly evident to companies and institutions, as well as to final users. …

Energy is essential for all countries, since it is in the core of social and economic development. Since the industrial revolution, the …

As known, the detector response function in the detection of alpha particles is characterized by the following distributions: …

This article tackles the problem of checking the conformance between a business process model and the data produced by its execution in …

The minimum sitting arrangement (MinSA) problem is a linear layout problem consisting in minimizing the number of errors produced when …

Building Integrated Photovoltaic (BIPV) systems aim not only to generate part of the electricity consumed by the edifice, but also to …

In this paper we present results for the Blood Glucose Level Prediction Challenge for the Ohio2020 dataset. We have used four variants …

Graph layout problems refer to a family of optimization problems with relevant applications in VLSI design, information retrieval, …

The obnoxious p-median problem consists of selecting p locations, considered facilities, in a way that the sum of the distances from …

The multi-objective open vehicle routing problem (MO-OVRP) is a variant of the classic vehicle routing problem in which routes are not …

Structured grammatical evolution is a recent grammar-based genetic programming variant that tackles the main drawbacks of Grammatical …

Nowadays, Social Networks have become an essential communication tools producing a large amount of information about their users and …

Identifying signs of online extremism is one of the top priorities for counter-extremist agencies. Social media platforms have become …

Community detection in social networks is becoming one of the key tasks in social network analysis, since it helps with analyzing …

Photovoltaic electricity generation is growing at an almost exponential rate worldwide, reaching 400 GWp of installed capacity in 2018. …

Se presentan dos herramientas para el apoyo a la toma de decisiones en proyectos de energización rural: el modelo SURE, que constituye …

This paper presents two metaheuristic algorithms for the solution of the p-next center problem: a Greedy Randomized Adaptive Search …

Structured grammatical evolution is a recent grammar-based genetic programming variant that tackles the main drawbacks of Grammatical …

Residual stresses, both macroscopic and microscopic, are originated during conventional metallurgical processes. Knowing their …

Nowadays, it is quite common to find violent acts in grassroot sports, such as football. Almost every week, it is possible to find news …

Research shows that teaching computer programming to children help them develop important 21st century skills such as planning, problem …

The Online Order Batching Problem is a combinatorial optimization problem related to the process of retrieving items within a …

The Hamiltonian -Median Problem (HpMP) is a generalization of the well-known Traveling Salesman Problem (TSP), where the goal is to …

This paper generalizes the iterated greedy algorithm to solve a multi-objective facility location problem known as the Bi-objective …

We present a variant of an order-picking problem where the objective function is to minimize the number of movements performed by …

Revealing the community structure in social networks witnessed a determined effort. In this respect, a different category of social …

Facility location problems aim to determine the best position to place facility centers. This task is not easy since many objectives …

Local search heuristic that explores several neighborhood structures in a deterministic way is called variable neighborhood descent …

—La evolucion gramatical es una variante ´ de la programacion gen ´ etica, que permite, entre otras ´ caracter´ısticas, introducir …

Drawings of graphs have many applications and they are nowadays well-established tools in computer science in general, and optimization …

The bi-criteria p-median p-dispersion is a challenging optimization problem that belongs to the family of location problems. To our …

The Order Batching Problem (OBP) can be considered a family of optimization problems related to the retrieval of goods in a warehouse. …

Location problems have been studied extensively in the optimization literature, the p-median being probably one of the most tackled …

The term layout problem comes from the context of Very Large-Scale Integration (VLSI) circuit design. Graph layouts are optimization …

One the most relevant application areas of artificial intelligence and machine learning in general is medical research. We here focus …

The bi-objective obnoxious p-median problem has not been extensively studied in the literature yet, even having an enormous real …

The Max-Sum diversity and the Max-Min diversity are two well-known optimization models to capture the notion of selecting a subset of …

The graph bandwidth minimization problem is an interesting problem that has become relevant in a wide range of domains. Networks …

The Maximum Balanced Biclique Problem (MBBP) consists of identifying a complete bipartite graph, or biclique, of maximum size within an …

The memory hierarchy has a high impact on the performance and power consumption in the system. Moreover, current embedded systems, …

El Problema del Maximo Biclique Balanceado, o Maximum Balanced Biclique Problem (MBBP), consiste ennencontrar el biclique de tamano …

Community Finding Problems (CFPs) have become very popular in the last years, due to the high number of users that connect everyday to …

The amount of data generated by social media users is increasing exponentially mainly produced by the high number of users connected …

En este trabajo se presenta la adaptación de un algoritmo de Búsqueda de Vecindad Variable Básica al problema de agrupación y recogida …

Búsqueda de puntos débiles en redes de comunicaciones mediante algoritmos metaheurísticos

The estimation of total energy demand in a country from macro-economic variables is an important problem useful to evaluate the …

In this work, we present and describe the program ALPHACAL, specifically developed for the calibration of alpha-particle sources. It is …

The Order Batching Problem is an optimization problem belonging to the operational management aspect of a warehouse. It consists of …

Automated graph-drawing systems utilize procedures to place vertices and arcs in order to produce graphs with desired properties. …

Photovoltaic technologies can have a role in climate change mitigation being routed in sustainability if the decisions are taken …

In the last years, there have been a huge increase in the number of research contributions that use games and video-games as an …

The unstoppable growth that Social Networks (SN) have suffered in the last years, has produced that the data stored in those networks …

En esta comunicación se muestra la utilidad de GitHub para el apoyo en la docencia de asignaturas de programación GitHub es una …

Constraint Satisfaction Problems (CSP) belongs to this kind of traditional NP-hard problems with a high impact in both, research and …

Warehousing is a key part of supply chain management. It primarily focuses on controlling the movement and storage of materials within …

The increasing interest in the use of Unmanned Aerial Vehicles (UAV) in the last years has opened up a new complex area of research …

Creating behavioural models of human operators engaged in supervisory control tasks with UAVs is of great value due to the high cost of …

Social networks (SNs) have become a powerful tool for the jihadism as they serve as recruitment assets, live forums, psychological …

Nowadays, social networks are essential communication tools that produce a large amount of information about their users and their …

El creciente uso de sistemas aéreos no tripulados (UASs) no se ha visto acompañado de una integración apropiada de los métodos y …

Embedded systems have become an essential part of our lives, mainly due to the evolution of technology in the last years. However, the …

Patients suffering from Diabetes Mellitus illness need to control their levels of sugar by a restricted diet, a healthy life and in the …

Warehousing has been found as an essential issue by the industry in the last few years, being a key part of the supply chain …

Computing graph separators in networks has a wide range of real-world applications. For instance, in telecommunication networks, a …

Social networks (SNs) have become essential communication tools in recent years, generating a large amount of information about its …

En los últimos años, las redes sociales se han convertido en una importante herramienta de difusión de mensajes. La cantidad de …

Currently, Diabetes Mellitus Type 1 patients are waiting hopefully for the arrival of the Artificial Pancreas (AP) in a near future. AP …

This paper presents an implementation of Grammatical Evolution on a GPU architecture. Our proposal, Embedded Grammars, implements the …

Predicting glucose values on the basis of insulin and food intakes is a difficult task that people with diabetes need to do daily. This …

Constraint Satisfaction Problems (CSP) belong to a kind of traditional NP-hard problems with a high impact on both research and …

An operating procedure (OP), also known as checklist or action plan, is a list of actions or criteria arranged in a systematic way, …

This document describes an alternative integer linear programming (ILP) model for the so-called edge-disjoint paths (EDP) problem in …

The unstoppable growth of Social Networks (SNs), and the huge number of connected users, have become these networks as one of the most …

In this paper we propose a Variable Neighborhood Search approach for the Crew Pairing Problem. This problem consist in assigning a crew …

In this issue we present a peer-reviewed selection of short papers that were accepted for presentation in the 4th International …

Les graphes signés sont des graphes pour lesquels les arêtes ont un signe positif ou négatif. En psychologie sociale, les graphes …

This paper presents an evolutionary based method to obtain the un-stressed lattice spacing, d0, required to calculate the residual …

One way of increasing access to electricity for impoverished unconnected areas without adding significant amounts of CO2 to the …

We tackle a combinatorial problem that consists of finding the optimal configuration of a binary matrix. The configuration is …

Energy demand prediction is an important problem whose solution is evaluated by policy makers in order to take key decisions affecting …

The RiskTrack project aims to help in the prevention of terrorism through the identi cation of online radicalisation. In line with the …

Diabetes mellitus is a disease that affects more than three hundreds million people worldwide. Maintaining a good control of the …

Variable neighbourhood search (VNS) and all its variants have been successfully proved in hard combinatorial optimization problems. …

The maximum leaf spanning tree problem consists in finding a spanning tree of a graph that maximizes the number of leaves that the tree …

Nowadays, embedded systems are provided with cache memories that are large enough to influence in both performance and energy …

Current embedded systems are specifically designed to run multimedia applications. These applications have a big impact on both …

Academic performance is a concern of paramount importance in Spain, where around of of the students in the last two courses in high …

In the last years the interest in multi-hop communications has gained momentum within the research community due to the challenging …

This investigation is framed in the analysis of impacts in the local development starting from the taking of decisions on projects of …

Esta investigación se enmarca en el análisis de impactos en el desarrollo local a partir de la toma de decisiones en proyectos de …

In recent years Unmanned Aerial Vehicles (UAVs) have become a very popular topic in many different research fields and industrial …

The increasing of the energy demand in every country has lead experts to find strategies for estimating the energy demand of a given …

Over the years, there has been an evolution in the manner in which we perform traditional tasks. Nowadays, almost every simple action …

This paper presents a method for accelerating the evaluation of individuals in Grammatical Evolution. The method is applied for …

Data mining techniques have been used on data collected from a photovoltaic system to predict its generation and performance. …

Data Mining techniques have been applied to data collected from a 222 kWp CdTe (Cadmium Telluride) photovoltaic (PV) generator to …

Este trabajo se centra en el area del dibujo automatico de grafos, en la que los algoritmos situan los vertices y las aristas de un …

El problema de la minimizaci´on del n´umero de errores en ordenaciones lineales se define como un problema sobre un grafo con signos, …

En este trabajo se propone la aplicaci´on de la metodolog´ıa B´usqueda de Vecindad Variable, en concreto la variante General Variable …

The process of accurately gauging lifetime improvements in organic photovoltaics (OPVs) or other similar emerging technologies, such as …

The life cycle assessment aims to compare and analyze the environmental impacts of products and services throughout their life cycle. …

The Obnoxious p-Median problem consists in selecting a subset of p facilities from a given set of possible locations, in such a way …

In the so-called Big Data paradigm descriptive analytics are widely conceived as techniques and models aimed at discovering knowledge …

The study of user behavior based on his/her interactions with a system is widely extended over several fields of research. Often, it is …

The order batching problem is a part of the picking process of items in a warehouse. A set of items conform an order and a set of …

El empaquetado de pedidos es un problema de optimizaci ́onrelacionado con el proceso de recogida de pedidos en un almac ́en. Con-siste …

The effect of substituting lead with tin in perovskite-based solar cells (PSCs) has shows that lead is preferred over tin by a lower …

The activity of alpha-particle sources with negligible thickness can be absolutely determined using 2π counting geometry detectors, …

Embedded systems have become an essential part of our lives, thanks to their evolution in the recent years, but the main drawback is …

We present a life cycle analysis (LCA) and an environmental impact analysis (EIA) of lead based perovskite solar cells prepared …

In the last years, the Video Game industry has growth considerably, capturing the attention of the research community. One of the …

We study the problem of minimizing the profile of a graph and develop a solution method by following the tenets of scatter search. Our …

Embedded systems, mainly battery-powered, must guarantee low power consumption and good performance. The cache memory design is crucial …

Along with the proliferation of the Smart Grid, power load disaggregation is a research area that is lately gaining a lot of popularity …

Solutions to real-life optimization problems usually have to be evaluated considering multiple conflicting objectives. These kind of …

The use of Unmanned Aerial Vehicles (UAVs) has been growing over the last few years. The accelerated evolution of these systems is …

Gracias a la evoluci´on tecnol´ogica experimentada en los ´ultimos a˜nos, los sistemas embebidos han entrado a formar parte del d´ıa a …

We propose several new hybrid heuristics for the differential dispersion problem, the best of which consists of a GRASP with sampled …

The life cycle assessment of a grid-connected, parking integrated, 222 kWp cadmium telluride photovoltaic system has been performed. …

Signed graphs are graphs with an assignment of a positive or a negative sign to each edge. These graphs are helpful to represent …

Diabetes mellitus is a disease that affects to hundreds of million of people worldwide. Maintaining a good control of the disease is …

Constant necessity of improving performance has brought the invention of 3D chips. The improvement is achieved due to the reduction of …

En este art´ıculo se estudia el problema del paso de banda, el cual surge en el campo de las telecomunicaciones. Dicho problema trata …

El Problema del Empaquetado de Pedidos forma parte delproceso de recogida de productos en un almacén. Un conjunto de produc-tos …

El Problema del Empaquetamiento dePedidos es parte del proceso de recogida de productosen un almac ́en. Un conjunto de productos …

Given an undirected and connected graph, the maximum leaf spanning tree problem consists in finding a spanning tree with as many leaves …

Measurements of -particle sources require corrections to the counting rate due to scattering and self–absorption in the source …

Computational intelligence (CI), such as evolutionary computation or swarm intelligence methods, is a set of bio-inspired algorithms …

Order Batching is an optimization problem related to the picking process of orders in a warehouse. It consists in grouping the orders …

The well-known code Stopping and Range of Ions in Matter (SRIM) and the more recent code AlfaMC were used in this work to evaluate the …

En este artículo mostramos los resultados de la aplicación de varios métodos de aprendizaje computacional sobre datos procedentes de …

Constraint Satisfaction Problems (CSP) belongs to this kind of traditional NPhard problems with a high impact in both, research and …

Different techniques have been proposed to tackle GA-Hard problems. Some techniques work with different encodings and representations, …

The design of a cusp-like digital pulse shaper for particle energy measurements requires the definition of four parameters whose values …

In stand-alone PV System facilities no grid connection exists, therefore the solar generator and battery bank have to be carefully …

The bipartite unconstrained 0-1 quadratic programming problem (BQP) is a difficult combinatorial problem defined on a complete graph …

In this paper, we propose a random network to model the evolution of the academic performance focused on the educational level of …

Diabetes mellitus is a disease that affects to hundreds of millions of people worldwide. Maintaining a good control of the disease is …

Ant Colony Optimization (ACO) has been successfully applied to a wide number of complex and real domains. From classical optimization …

In this paper, we address an optimization problem resulting from the combination of the well-known travelling salesman and knapsack …

We propose several new hybrid heuristics for the differential dispersion problem are proposed, the best of which consists of a GRASP …

Chronic patients must carry out a rigorous control of diverse factors in their lives. Diet, sport activity, medical analysis or blood …

A key issue for a proper control and treatment of diabetes patients is to have an accurate model of the interaction between glucose, …

Para conseguir captar el interes de los jugadores is importante que los video juegos adapten su dificultad en funcion de las …

Bio-inspired algorithms have been widely used to solve problems in areas like heuristic search, classical optimization, or optimum …

The Vertex Separation problem (VSP) is an NP-hard problem with practical applications in VLSI design, graph drawing and computer …

Diabetes mellitus is a disease that affects to hundreds of millions of people worldwide. Maintaining a good control of the disease is …

VirtualWorlds (VW) have gained popularity in the last years in domains like training or education mainly due to their highly immersive …

The dependence of efficiency of a gas-flow proportional counter with respect to the source thickness and α-particle energy was …

We propose an agent-based simulation system that allows to design and test social models and also to persist the state of the social …

Resource-Constrained Project Scheduling Problem (RCPSP) is a NP-hard combinatorial problem that consists in scheduling different …

Modern consumer devices must execute multimedia applications that exhibit high resource utilization. In order to efficiently execute …

Many optimization problems are formulated as min–max problems where the objective function consist of minimizing a maximum value. In …

In this work we describe the URJC&UNED participation in the ImageCLEF 2013 Photo Annotation Task. We use visual information to find …

The Smart City concept arises from the need to provide more intelligent and optimized applications for the development of future urban …

This work presents a novel approach to object detection and tracking in urban environments using images obtained from a radar network, …

Nowadays, there is an increasing interest in the application of Collective Intelligence and Evolutive optimization algorithms for …

JECO is a Evolutionary Computation Library deveoloped in Java. It includes a variety of evolutionary optimization techniques such as …

The influence of different source compositions and α-particle energies on the detection efficiency of a gas-flow proportional counter …

El estudio y resoluci ́on de problemas complejos medianteel uso de metaheur ́ısticas es un tema muy extendido en el ́areade …

This paper presents extensive computational experiments to compare 10 heuristics and 20 metaheuristics for the maximum diversity …

This paper presents our recent experiences with the design of game-like applications in 3-D virtual environments as well as its impact …

This PhD dissertation focuses on the evaluation of the environmental impact of different photovoltaic technologies, with special focus …

Dado un grafo conexo y no dirigido G = (V, E) y un lími-te entero positivo b, el problema del Vertex Separator (VS) consiste en …

En este trabajo se propone un análisis comparativo de la implementación paralela y secuencial de un algoritmo basado en el es-quema …

The cutwidth minimization problem consists of finding a linear arrangement of the vertices of a graph where the maximum number of cuts …

The increasing transistor scale integration poses, among others, the thermal-aware floorplanning problem consisting of how to place the …

En este artiicuLo mostramos Los resultados de la aplicacion de la metodologiia de Analisis de Ciclo de Vida en una instalacion …

We propose an evolutionary flow for finite state machine inference through the cooperation of grammatical evolution and a genetic …

Constraint Satisfaction Problems (CSP) have been widely studied in several research areas like Artificial Intelligence or Operational …

The Vertex Separation Problem belongs to a family of optimization problems in which the objective is to find the best separator of …

The cutwidth minimization problem consists of finding a linear layout of a graph so that the maximum linear cut of edges is minimized. …

En este trabajo se presenta OptsicomAnalytics, una herramienta web en desarrollo queayuda en las tareas de investigacion en …

Nowadays, there is an increasing interest in the application of Collective Intelligence and Evolutive optimization algorithms for …

Alpha particles emitted from radioactive sources are often measured using a 2pi counting geometry in order to determine the activity …

This paper proposes a GRASP algorithm combined with Path Relinking to solve the SumCut minimization problem. In the SumCut problem one …

The objective of this work is to develop several metaheuristic algorithms to improve the efficiency of the MILP algorithm used for …

This paper focuses on the development of videogame-like applications in a 3D virtual environment as a complement to the face-to-face …

Cognates are words in different languages that have similar spelling and meaning. The identification of cognates is very useful for …

SURE es una herramienta de evaluación de viabilidad de proyectos de desarrollo energético en poblaciones aisladas. Este software …

Variable Neighborhood Search (VNS) is a metaheuristic for solving optimization problems based on a systematic change of neighborhoods. …

In this article we present a system for the promotion of an autonomous learning by the students and also, an automated assessment of …

Los algoritmos de oorplanning termi-co tratan de ubicar de forma estrategica los distintosmodulos hardware que componen una …

The Cutwidth Minimization Problem, also known as the Minimum Cut Linear Arrangement consists of finding an arrangement of the vertices …

The energy distribution of the alpha particles emitted from a source is in general complex. Only under particular circumstances, as in …

Network communications have been widely studied in the last decades in different research fields: artificial intelligence, computer …

For the last 30 years, a large variety of memory allocators have been proposed. Since performance, memory usage and energy consumption …

Modern portable devices execute multimedia applications that exhibit high resource utilization. To efficiently execute these …

This paper presents a Named Entity Recognition (NER) system based on Hidden Markov Models. The system design is language independent, …

The dynamic memory manager (DMM) is a key element whose customization for a target application reports great benefits in terms of …

Since Virtual Worlds (VWs) have been recognized as a powerful tool in education, they have been attracting the interest of many …

This paper proposes a GRASP algorithm to solve the SumCut minimization problem. In the SumCut problem one is given a graph with n nodes …

El estudio de las redes de comunicaciones ha sufrido un importante crecimiento en las ´ultimas décadas en diferentes ´áreas de …

La optimización es una disciplina que trata de encontrar solución a problemas de la vida cotidiana. Una gran cantidad de problemas que …

In recent years videogames have been recognized as a powerful tool in education, attracting the interest of researchers from a wide …

Regular expressions, or regexes, have been used traditionally as a pattern matching tool to search for structures in a set of objects, …

This work presents an overview of the modeling and simulation challenges that currently exist in the area of computer architecture …

A multiproduct pipeline provides an economic way to transport large volumes of refined petroleum products over long distances. In such …

The social sciences have long employed simulations and statistical models in their research methodology as testing and validation …

The growing of the number of vehicles cause serious strains on road infrastructures. Traffic jams inevitably occur, wasting time and …

Virtual Worlds have become a very popular domain and its high inmersive characteristics can be used to extract infor-mation about the …

Variability is one of the important issues in deep-submicron tecnologies, and the assumption of non-variable, constant la- tencies in …

La cantidad de informacion en formato de texto digital ha aumentao a un ritmo inesperado en la ultima decada. Por ello las tecnicas de …

La cantidad de informacion en formato de texto digital ha aumentao a un ritmo inesperado en la ultima decada. Por ello las tecnicas de …

En este trabajo se presenta un modelo de programación Lineal Entera Mixta (MILP) para la planificación de la producción y el transporte …

Over the last decade there has been a growing interest on Intelligent Agents and Multi-Agent Systems (MAS) in several fields such as …

The linguistic description of a physical phenomenon is a summary of the available information where certain relevant aspects are …

En los últimos años, el diseño de las arquitecturas de consumo se ha centrado en el paralelismo como objetivo principal para el …

This paper aims to describe the activities designed and conducted with primary school, secondary school and university students to …

Multimedia Information Retrieval is currently a hot research topic due the popularity of the World Wide Web and the huge amount of …

Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy …

Genetic Algorithms (GA) is a family of search algorithms based on the mechanics of natural selection and biological evolution. They are …

For the last 30 years, several dynamic memory managers (DMMs) have been proposed. Such DMMs include first fit, best fit, segregated fit …

A method is proposed to reproduce alpha-particle spectra measured with silicon detectors, combining analytical and computer simulation …

A multiproduct pipeline provides an economic way to transport large volumes of refined petroleum products over long distances. In such …

Regular expressions, or simply regex, have been widely used as a powerful pattern matching and text extractor tool through decades. …

iTest es una herramienta de evaluación online diseñada y desarrollada por el grupo de investigación HEOL (Herramientas de Evaluación On …

This research study focuses on the modeling and simulation of a gas distribution pipeline network with a special emphasis on gas ducts. …

This paper describes the experiences designed and conducted with college Mathematics students to study the integration of alternative …

Las redes de pr ́oxima generaci ́on, o NGN, es la tecnolog ́ıa que relevar ́a alactual sistema de tercera generaci ́on, 3G. Estas redes …

Asynchronous systems are attracting the interest of the designer community because of several useful features for sub-micron …

Asynchronous systems are attracting the interest of a growing number of designers. However, the lack of simulation tools devoted to …

Tanto el petróleo como el gas natural son las fuentes de energía más importantes de la sociedad actual. La toma de decisiones en cada …

Es sabido que uno de los puntos de mayor interés en una instalación de transporte y distribución de gas es la búsqueda de la presión …

Esta tesis se dedica al estudio e implementación de una herramienta capaz de evaluar el rendimiento de un procesador superescalar …

The thickness of charged-particle emitting sources can be determined by varying the incidence angle of particles using silicon …

A multiproduct pipeline provides an economic way to transport large volumes of refined petroleum products over long distances. In such …

En este capítulo se presenta una introducción al diseño de sistemas asíncronos donde se muestran las diferencias existentes frente al …

A hardware technique to reduce static and dynamic power consumption in functional units of 64-bit high-performance processors is …

This chapter describes the experience of developing and testing a tool for online evaluation in academia. The tool was firstly built as …

En este capítulo se describe la experiencia del desarrollo de una herramienta de evaluación online orientada a enseñanza secundaria y …

Las redes de conductores son un medio eficiente para el transporte de diferentes productos a lo largo de grandes distancias. Lo más …

The standardization of α-particle emitting sources with 2π detectors requires corrections for backscattering from the backing material. …

In this paper we present sim-async, an architectural simulator able to model a 64-bit asynchronous superscalar microarchitecture. The …

In this paper we analyze the usage of ExaNet: an online exam and evaluation management tool. To do so, we proceeded to use this tool to …

In this paper we present sim-async, an architectural simulator able to model a 64-bit asynchronous superscalar microarchitecture. The …

This paper presents iTest, a web application for online evaluation and self-evaluation in academia, supporting mathematical formula and …

En este trabajo se presentan dos partes bien diferenciadas. Por un lado, la experiencia vivida en el proceso de desarrollo y mejora de …

Nowadays, synchronous processor designers have to deal with severe problems related to the distribution of a complex clock network like …

This paper presents a hardware technique to reduce both the static and dynamic power consumption in Functional Units of a 64-bit …

This paper presents a hardware technique to reduce the static and dynamic power consumption in functional units of a 64-bit superscalar …

This paper presents a hardware technique to reduce of static and dynamic power consumption in FUs. This approach entails substituting …

Existen numerosas herramientas de diseño automático para minimizar el consumo de potencia. Algunas están diseñadas específicamente para …

We solve the problem of petroleum products distribution through oil pipelines networks. This problem is modelled and solved using two …

Se presenta la experiencia educativa desarrollada entre varias asignaturas para la construcción de una herramienta de …

Hay problemas técnicos de optimización cuya solución requiere un gasto computacional y de tiempo muy elevado; en general se les llama, …

En este trabajo se definen los formalismos necesarios para construir un entorno gráfico de modelado de problemas de optimización de …

Activity measurements of alpha-particle sources with significant thicknesses require corrections for the self-absorption of alpha …

El objetivo principal de esta tesis es presentar la simulación por Monte Carlo como una herramienta útil para poder interpretar …

This paper proposes a new approach for improving the performance of Globally Asynchronous Locally Synchronous (GALS) circuits. This …