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Premio al mejor trabajo presentado en el XIII Congreso Espanol de Metaheuristicas, Algoritmos Evolutivos y Bioinspirados, MAEB, celebrat a Granada, 2018
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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... 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.
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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... 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 ...
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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... 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
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... 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
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Research Interests: Computer Science, Algorithms, Decision Making, Manufacturing, Ant Colony Optimization, and 15 moreMulti Criteria Decision Making, Ant Colony Optimisation, MCDM, Assembly line balancing, Automotive Engineering, Multiple Criteria Decision Making, Domain Knowledge, Experimental Study, Engines, Assembly Systems, Expert knowledge, Decision Maker, Preference Elicitation, Flow Production Systems, and Delta modulation
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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... 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.
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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... 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.
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Aplicacion de metricas de robustez a configuraciones de linea en TSALBP - Ejemplo prototipo.
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Premio al mejor trabajo presentado en el XIII Congreso Espanol de Metaheuristicas, Algoritmos Evolutivos y Bioinspirados, MAEB, celebrat a Granada, 2018
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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... 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].
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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... 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,
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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... 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...
Partiendo de los modelos TSALBP- ergo ( Time and Space Assembly Line Balancing Problem with Ergonomic Risk ), proponemos 9 metricas para medir la robustez de un equilibrado de linea segun sus atributos temporales, espaciales y... more
Partiendo de los modelos TSALBP- ergo ( Time and Space Assembly Line Balancing Problem with Ergonomic Risk ), proponemos 9 metricas para medir la robustez de un equilibrado de linea segun sus atributos temporales, espaciales y contingentes . La version robusta de TSALB P- ergo considera diversos planes de demanda e incluye funciones que miden los exceso s de carga s temporales, espaciales y de riesgo ergonomico en las estaciones de la linea de montaje . Las metricas propuestas son utiles como funciones objetivo en problemas de optimizacion o se puede n emplear como indicadores del nivel de robustez de una linea . L a nueva version r-TSALBP- ergo pone a disposicion del decisor nuevas soluciones de equilibrado mas eficientes y robustas ante una demanda incierta
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La presente invention concerne un procede et un systeme automatique permettant d'aider un anthropologue judiciaire dans le cadre d'une identification par superposition cranio-faciale. Dans un premier temps, le systeme constitue de... more
La presente invention concerne un procede et un systeme automatique permettant d'aider un anthropologue judiciaire dans le cadre d'une identification par superposition cranio-faciale. Dans un premier temps, le systeme constitue de maniere automatique un modele en trois dimensions a partir d'un dispositif qui permet d'obtenir des vues partielles du crâne. Puis, on superpose ledit modele sur une photographie de la personne disparue, par modelisation de l'incertitude inherente a l'appariement de deux objets distincts: un crâne et un visage. Enfin, le systeme transmet une recommandation du resultat du processus d'identification a l'anthropologue judiciaire.
Forensic anthropology is a sub-field of physical anthropology that involves applying scientific knowledge to the collection and analysis of medico-legal information. It includes the recovery, identification, and description of human... more
Forensic anthropology is a sub-field of physical anthropology that involves applying scientific knowledge to the collection and analysis of medico-legal information. It includes the recovery, identification, and description of human skeletal remains [2]. Currently, several forensic identification techniques are available, i.e., DNA samples, fingerprint recognition, or dental records. When none of the previous methods can be applied, the analysis of skeletal remains becomes the last resort of forensic identification. One of the alternative techniques is craniofacial superimposition (CFS) [3], which involves the superimposition of a complete skull (or a skull model) with a number of ante mortem (AM) images of an individual. CFS is thus a technique used when only skeletal information is available for the forensic assessment and other techniques such as DNA or dental record analysis are not possible or conclusive. Traditional CFS techniques are tedious and based on a ‘trial and error’ p...
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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... 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 contribution we introduce a novel robustness function to measure the robustness of the line configuration when the production plans demand changes. The function is used as additional a posteriori information for the non-dominated solutions found by an advanced multiobjective genetic algorithm. Because of their independence, these robustness functions can be used in conjunction with any other multiobjective metaheuristic. Results show how the use of the robustness function can help the decision maker to select robust non-dominated solutions when future demand conditions vary in the assembly line configurations.
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In this study, we investigate the performance of GRASP (Greedy Randomized Adaptive Search Procedure) mataheuristic that has been used for solving extended optimization version of CSP (Car Sequencing Problem) [15] with respect to different... more
In this study, we investigate the performance of GRASP (Greedy Randomized Adaptive Search Procedure) mataheuristic that has been used for solving extended optimization version of CSP (Car Sequencing Problem) [15] with respect to different parameters and proposed modifications for the algorithm. While maximum appearance frequency of option in segment is usually a hard constraint, in this study we treat all capacity constraints as soft constraints by giving them same priority when evaluating candidates for the position in the sequence, in order to achieve more balanced sequences as initial solutions for the local improvement phase. The main disadvantage of the described greedy algorithm using static value of α GRASP parameter is that it uses all the good options at the beginning of the sequence, leaving the worse options for the last part of the sequence. Based on this, changing the starting position of the sequence and order of moves for the local search has been investigated. Result...
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Research Interests: Genetics, Forensic Science, Population Genetics, Biology, Multidisciplinary, and 15 moreSpain, Population, Humans, Haplotypes, Data, Polymerase Chain Reaction, DNA fingerprinting, Men, Basque country, Microsatellite, Countries, Population Study, Microsatellite DNA, Allele Frequency, and Gene frequency
Resumen El método clásico de razonamiento en Sistemas de Clasificación Basados en Reglas Difusas clasifica un patrón con la clase indicada en el consecuente de la regla con la que tiene mayor grado de asociación. Algunos métodos de... more
Resumen El método clásico de razonamiento en Sistemas de Clasificación Basados en Reglas Difusas clasifica un patrón con la clase indicada en el consecuente de la regla con la que tiene mayor grado de asociación. Algunos métodos de razonamiento alternativos consideran la información proporcionada por todas las reglas compatibles con el ejemplo. En este trabajo se proponen dos métodos de razonamiento aproximado que seleccionan la información a considerar en el proceso de inferencia, en base al concepto de mayoría ...
The cooperative rules (COR) methodology [2] is based on a combinatorial search of cooperative rules performed over a set of previously generated candidate rule consequents. It obtains accurate models preserving the highest... more
The cooperative rules (COR) methodology [2] is based on a combinatorial search of cooperative rules performed over a set of previously generated candidate rule consequents. It obtains accurate models preserving the highest interpretability of the linguistic fuzzy rule-based systems. Once the good behavior of the COR methodology has been proven in previous works, this contribution focuses on developing the process with a novel kind of metaheuristic algorithm: the ant colony system one. Thanks to the capability of this ...
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Resumen: Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the shortest path searching behavior of various ant species [1, 2]. The initial work of Dorigo, Maniezzo and Colorni [3, 4] who proposed the first ACO algorithm... more
Resumen: Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the shortest path searching behavior of various ant species [1, 2]. The initial work of Dorigo, Maniezzo and Colorni [3, 4] who proposed the first ACO algorithm called Ant System, has stimulated a still strongly increasing number of researchers to develop more sophisticated and better performing ACO algorithms that are used to successfully solve a large number of hard combinatorial optimization problems such as the traveling salesman problem, the ...
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Abstract. En este trabajo se ofrece una perspectiva general de la metaheurística de Optimización Basada en Colonias de Hormigas, describiendo varios de los modelos algorítmicos existentes, y poniendo un especial énfasis en el Sistema de... more
Abstract. En este trabajo se ofrece una perspectiva general de la metaheurística de Optimización Basada en Colonias de Hormigas, describiendo varios de los modelos algorítmicos existentes, y poniendo un especial énfasis en el Sistema de la Mejor-Peor Hormiga y en algunas de las nuevas tendencias existentes en el campo como, por ejemplo, la Paralelización de Colonias de Hormigas. Palabras Clave. Optimización Basada en Colonias de Hormigas, Sistema de la Mejor-Peor Hormiga, Paralelización de Colonias de ...