Papers by Oscar Cordón García
Partiendo de la familia de modelos TSALBP (Time and Space Assembly Line Balancing Problem), propo... more Partiendo de la familia de modelos TSALBP (Time and Space Assembly Line Balancing Problem), proponemos diversas funciones para medir la robustez de un equilibrado de línea atendiendo a sus atributos temporales y espaciales. La versión robusta de TSALBP considera un conjunto de escenarios de demanda y presenta funciones que miden el exceso de carga, tanto temporal como espacial, en las estaciones de trabajo de la línea. Dichas funciones pueden emplearse como funciones objetivo en el problema de optimización resultante y como métricas ante un equilibrado de línea concreto; en ambos casos, la nueva versión de TSALBP pone a disposición del decisor nuevas soluciones de equilibrado más eficientes y robustas ante una demanda incierta.
Visualización avanzada de datos de Twitter para su análisis como canal de comunicación: Caso del mercado maduro de las bodegas con Denominación de Origen Calificada Rioja
Metaheurísticas constructivas para "Car Sequencing Problem" con Flotas de vehículos especiales
Premio al mejor trabajo presentado en el XIII Congreso Espanol de Metaheuristicas, Algoritmos Evo... more Premio al mejor trabajo presentado en el XIII Congreso Espanol de Metaheuristicas, Algoritmos Evolutivos y Bioinspirados, MAEB, celebrat a Granada, 2018
The reduction of energy consumption in buildings is one of the goals to improve energy efficiency... more The reduction of energy consumption in buildings is one of the goals to improve energy efficiency. One way to achieve energy savings in buildings is to develop intelligent control strategies for heating systems that are able to reduce power consumption without affecting the thermal comfort. An intelligent control system must be able to predict the temperature of the building in order to manage the heating system. In this paper, we present a rule-based model that is able to predict the indoor temperature for different values of k (hours ahead in time). The model has been learned with FRULER, a genetic fuzzy system that generates accurate and simple knowledge bases. Our approach has been validated with real data from a residential college.
Uso de Marcadores Difusos para Solucionar el Problema de la Coplanaridad en la Calibración de la Cámara en 3D. Aplicación en Identificación Forense por Superposición Craneofacial
La Superposición Craneofacial es un proceso forense cuyo objetivo es identificar a personas desap... more La Superposición Craneofacial es un proceso forense cuyo objetivo es identificar a personas desaparecidas a partir de fotografıas y de un cráneo encontrado. Las técnicas más avanza- das usan un modelo 3D del cráneo. La segunda etapa de esta compleja técnica forense, el emparejamiento cráneo-cara, trata de encontrar la pose más adecuada del modelo 3D del cráneo que será proyectado sobre la fotografıa. Esta segunda etapa se puede modelar como un problema de calibración de la cámara, problema ampliamente referenciado en la bibliografıa de visión ...
An information retrieval system (IRS) based on fuzzy multi-granular linguistic information is pro... more An information retrieval system (IRS) based on fuzzy multi-granular linguistic information is proposed. The system has an evaluation method to process multi-granular linguistic information, in such a way that the inputs to the IRS are represented in a different linguistic domain than the outputs. The system accepts Boolean queries whose terms are weighted by means of the ordinal linguistic values represented by the linguistic variable "Importance" assessed on a label set S. The system evaluates the weighted queries according to a threshold semantic and obtains the linguistic retrieval status values (RSV) of documents represented by a linguistic variable "Relevance" expressed in a different label set S'. The advantage of this linguistic IRS with respect to others is that the use of the multi-granular linguistic information facilitates and improves the IRS-user interaction
E. Bermejo, M. Chica, S. Damas, S. Salcedo-Sanz and O. Cordón ∗ Instituto Andaluz en Data Science... more E. Bermejo, M. Chica, S. Damas, S. Salcedo-Sanz and O. Cordón ∗ Instituto Andaluz en Data Science and Computational Intelligence (DaSCI), Universidad de Granada, Granada 18071. Email: ebermejo@decsai.ugr.es,sdamas@ugr.es † School of Electrical Engineering and Computing, The University of Newcastle, Callaghan 2380, Australia. Email: manuel.chicaserrano@newcastle.edu.au ‡ Departamento de Teorı́a de la Señal y Comunicaciones, Universidad de Alcalá, Alcalá de Henares 28805. Email: sancho.salcedo@uah.es §Centro de Investigación en Tecnologı́as de la Información, Universidad de Granada, Granada 18071 Email: ocordon@decsai.ugr.es
Debates CSIC: El impacto de la Inteligencia Artificial en nuestra sociedad
Consejo Superior de Investigaciones Científicas (España), Jun 12, 2019
Datos técnicos: 116 minutos, color, español. Ficha técnica: Gabinete de Presidencia CSIC y Depart... more Datos técnicos: 116 minutos, color, español. Ficha técnica: Gabinete de Presidencia CSIC y Departamento de ComunicaciónLa inteligencia artificial es uno de los mayores retos de la ciencia: lograr que una máquina tenga una inteligencia de tipo general similar a la humana. El desafío es tan ambicioso como explicar el origen de la vida, el origen del universo o conocer la estructura de la materia. Un objetivo más asequible es la inteligencia artificial específica, centrada en tareas concretas, que está impulsando una revolución tecnológica que abarca desde sistemas de aprendizaje hasta nuevos modos de producción que impactarán en el mercado de trabajo y en el modelo económico. Orden de intervención de los ponentes: 0:19 : Rosa Menéndez - Presidenta del CSIC 5:31 : Carles Sierra - Instituto de Investigación en Inteligencia Artificial (CSIC) 16:15 : Ángela Ribeiro - Centro de Automática y Robótica (CSIC - UPM) 26:59 : Amparo Alonso-Betanzos - Asociación Española para la Inteligencia Artificial 37:50 : Óscar Cordón - Universidad de Granada 49:00 : Asunción Gómez - Universidad Politécnica de Madrid 58:03 : Ramón López de Mántaras - Instituto de Investigación en Inteligencia Artificial (CSIC) 1:10:32 : Daniel Villatoro - Openbank 1:20:06 : Turno de preguntasN
Lecture Notes in Computer Science, 2002
In this contribution, we will study the influence of the three components of the Best-Worst Ant S... more In this contribution, we will study the influence of the three components of the Best-Worst Ant System (BWAS) algorithm. As the importance of each of them as the fact whether all of them are necessary will be analyzed. Besides, we will introduce a new algorithm called Best-Worst Ant Colony System by combining the basis of the Ant Colony System with the special components of the BWAS. The performance of different variants of these algorithms will be tested when solving different instances of the QAP.
2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making, 2009
In this paper, we consider the incorporation of user preferences based on Nissan automotive compa... more In this paper, we consider the incorporation of user preferences based on Nissan automotive company's domain knowledge into a multi-objective search process for assembly line balancing. We focus on the Time and Space Assembly Line Balancing problem, a more realistic variant of this family of problems considering the joint minimisation of the number of stations and their area in the assembly line configuration. The multi-objective optimisation algorithm considered is based on Ant Colony Optimisation, a research area where the consideration of multi-criteria decision making issues is still not extended. The proposed approach borrows a successful preference scheme from the evolutionary multi-objective optimisation community, which provides experts with solutions of their contextual interest in the objective space. The expressions of the considered preferences are based on the Nissan plant designer's expert knowledge and on real-world economical variables. Using the real data of the Nissan Pathfinder engine, an experimental study is carried out to obtain the most preferred solutions for the decision makers in six different Nissan scenarios.
International Journal of Production Economics, 2013
The time and space assembly line balancing problem (TSALBP) is a realistic multiobjective version... more The time and space assembly line balancing problem (TSALBP) is a realistic multiobjective version of assembly line balancing industrial problems involving the joint optimization of conflicting criteria such as the cycle time, the number of stations, and the area of these stations. However, the existing problem formulation does not consider the industrial scenario where the demand of a set of mixed products is variable and uncertain. In this work we propose to introduce novel robustness functions to measure how robust the line configuration is when the production plans demand changes. These functions are based on the stations overload under future demand conditions and are used as additional a posteriori information for the non-dominated solutions found by any multiobjective optimization method. The values of the robustness functions are put together with a novel graphical representation to form a generic model that aims to offer a better picture of the robustness of the set of Pareto-optimal solutions. Real data from the assembly line and production planning of the Nissan plant of Barcelona is considered for the experimentation. This information is also employed to develop a new TSALBP instance generator (NTIGen) that can generate problem instances having industrial real-like features. The use of the robustness information model is illustrated in an experimentation formed by a set of instances generated by NTIGen. Results show how the use of this robustness information model is necessary for the decision maker as it allows her/him to discriminate between different assembly line configurations when future demand conditions vary.
Soft Computing, 2014
In this contribution, we propose an interactive multicriteria optimisation framework for the time... more In this contribution, we propose an interactive multicriteria optimisation framework for the time and space assembly line balancing problem. The framework allows decision maker interaction by means of reference points to obtain the most interesting non-dominated solutions. The principal components of the framework are the g-dominance preference scheme and a state-of-the-art memetic multiobjective ant colony optimisation approach. In addition, the framework includes a novel adaptive multi-colony mechanism to be able to handle the preferences in an interactive way. Results show how the multiobjective framework can interactively obtain the most useful solutions with higher convergence than previous a priori methods. The experimentation also makes use of original data of the Nissan Pathfinder engine and practical bounds to define industrially feasible solutions in a set of scenarios. By solving the problem in these scenarios, we show the search guidance advantages of Communicated by V. Loia.
Method and system of forensic identification by craniofacial superimposition based on soft computing
Forensic identification system for craniofacial superimposition based on soft computing. # The pr... more Forensic identification system for craniofacial superimposition based on soft computing. # The present invention is given by a method and an automatic system that support forensic anthropologist on task identification craniofacial superimposition. First, the system automatically constructed a three dimensional model from a device that provides a partial view of the skull. Subsequently, the model over a photograph of the missing person overlaps, modeling uncertainty inherent in the pairing of two different objects: a skull and face. Finally, the system issues a recommendation on the outcome of the identification process the forensic anthropologist.
Proteasomes catalyze the degradation of endogenous proteins into oligopeptides, but can concurren... more Proteasomes catalyze the degradation of endogenous proteins into oligopeptides, but can concurrently create spliced oligopeptides through ligation of previously non-contiguous peptide fragments. Recent studies have uncovered a formerly unappreciated role for proteasome-catalyzed peptide splicing (PCPS) in the generation of non-genomically templated human leukocyte antigen class I (HLA-I)-bound cis-spliced peptides that can be targeted by CD8 + T cells in cancer and infection. However, the mechanisms defining PCPS reactions are poorly understood. Here, we experimentally define the biochemical constraints of proteasome-catalyzed cis-splicing reactions by examination of in vitro proteasomal digests of a panel of viral-and self-derived polypeptide substrates using a tailored mass-spectrometry-based de novo sequencing workflow. We show that forward and reverse PCPS reactions display unique splicing signatures, defined by preferential fusion of distinct amino acid residues with stringent peptide length distributions, suggesting sequence-and size-dependent accessibility of splice reactants for proteasomal substrate binding pockets. Our data provide the basis for a more informed mechanistic understanding of PCPS that will facilitate future prediction of spliced peptides from protein sequences.
Although the fuzzy retrieval model constitutes a powerful extension of the Boolean one, being abl... more Although the fuzzy retrieval model constitutes a powerful extension of the Boolean one, being able to deal with the imprecision and subjectivity existing in the Information Retrieval process, users are not usually able to express their query requirements in the form of an extended Boolean query including weights. To solve this problem, different tools to assist the user in the query formulation have been proposed. In this paper, the genetic algorithm-programming technique is considered to build an algorithm of this kind that will be able to automatically learn weighted queries -modeling the user's needs- for a fuzzy information retrieval system by applying an off-line adaptive process starting from a set of relevant documents.
Aplicacion de metricas de robustez a configuraciones de linea en TSALBP - Ejemplo prototipo.
Metaheurísticas constructivas para "Car Sequencing Problem" con Flotas de vehículos especiales
Premio al mejor trabajo presentado en el XIII Congreso Espanol de Metaheuristicas, Algoritmos Evo... more Premio al mejor trabajo presentado en el XIII Congreso Espanol de Metaheuristicas, Algoritmos Evolutivos y Bioinspirados, MAEB, celebrat a Granada, 2018
En los ultimos anos, se ha experimentado un interes creciente en la aplicacion de tecnicas de Int... more En los ultimos anos, se ha experimentado un interes creciente en la aplicacion de tecnicas de Inteligencia Artificial (IA) al campo de la Recuperacion de Informacion (RI) [8] con el proposito de subsanar las carencias de los clasicos Sistemas de RI (SRI) booleanos. En concreto, el paradigma del Aprendizaje Automatico, basado en el diseno de sistemas con capacidad para adquirir conocimiento por si mismos, parece interesante para el area de la RI [1,6,7].
We present a new method for human identification by analysis of images and photographic superimpo... more We present a new method for human identification by analysis of images and photographic superimposition. We discuss the advantages of including skull threedimensional images. that provide the overlap and ellminate errors when scaling the 3D moclel in real size. This work was developed by an interdisciplinary team and ils goal is to provide a tool for semi-automatic human identification, basad en the craniofacial recognition,
La comparación de radiografı́as es una técnica de identificación forense que conlleva la comparac... more La comparación de radiografı́as es una técnica de identificación forense que conlleva la comparación manual de radiografı́as ante-mortem (AM) y post-mortem (PM). Sin embargo, éste es un proceso lento y propenso a errores por lo que su utilidad se ve reducida. El objetivo de este trabajo es proponer y validar un nuevo paradigma asistido por ordenador para comparación de radiografı́as. En concreto, se centra en reproducir de manera automática los parámetros de adquisición de la radiografı́a AM en una proyección del modelo 3D PM mediante una metodologı́a basada en el registrado de imágenes 3D-2D. Este proceso de registrado será guiado por la silueta de la estructura anatómica utilizada para identificar en la radiografı́a AM y un modelo 3D PM de la misma. El problema de optimización subyacente es complejo ya que no se puede asumir una inicialización cercana y tampoco se puede depender del valor de intensidad de los pı́xeles (enfoque tradicional en imagen médica). Para abordarlo se ha ut...
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Papers by Oscar Cordón García