Ingeniería Informática

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Browsing Ingeniería Informática by Subject "ALGORITMOS GENETICOS"

Now showing 1 - 4 of 4
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    Discovering sensing capability in multi-agent systems
    (2010) Parpaglione, María Cristina; Santos, Juan Miguel
    "What should be the sensing capabilities of agents in a Multi-Agent System be to solve a problem efficiently, quickly and economicly? This question often appears when trying to solve a problem using Multi-Agent Systems. This paper introduces a method to find these sensing capabilities in order to solve a given problem. To achieve this, the sensing capability of an agent is modeled by a parametrized function and then Genetic Algorithms are used to find the parameters’ values. The individual behavior of the agents are found with Reinforcement Learning."
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    From operational to declarative specifications using a genetic algorithm
    (2018-05) Molina, Facundo; Degiovanni, Renzo; Regis, Germán; Castro, Pablo; Aguirre, Nazareno; Frías, Marcelo
    "In specification-based test generation, sometimes having a formal specification is not sufficient, since the specification may be in a different formalism from that required by the generation approach being used. In this paper, we deal with this problem specifically in the context in which, while having a formal specification in the form of an operational invariant written in a sequential programming language, one needs, for test generation, a declarative invariant in a logical formalism. We propose a genetic algorithm that given a catalog of common properties of invariants, such as acyclicity, sortedness and balance, attempts to evolve a conjunction of these that most accurately approximates an original operational specification. We present some details of the algorithm, and an experimental evaluation based on a benchmark of data structures, for which we evolve declarative logical invariants from operational ones."
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    proyecto final de grado.listelement.badge
    Genetic Working Space
    (2017) Ducret, Argentino; Gutiérrez, Ignacio; Parpaglione, María Cristina
    "Genetic working space es una solución con algoritmos genéticos al problema de elegir una distribución de asientos para un conjunto de empleados, sujeto a restricciones. Para su implementación​ ​se​ ​utilizó​ ​un​ ​motor​ ​de​ ​algoritmos​ ​genéticos​ ​desarrollado​ ​en​ ​Java."
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    proyecto final de grado.listelement.badge
    Simulación y animación biomecánica de un humanoide
    (2016) Altamiranda Graterol, Enzo; Fontanella De Santis, Teresa; Mehdi, Tomás; Parisi, Daniel
    "Este proyecto tiene como objetivo crear una simulaci ́on y animaci ́on de un humano virtual, con las siguientes propiedades: − Biomecánica: que tanto su estructura (peso, altura y posición de cada una de sus partes) como su interacci ́on con el entorno, respondan a comportamientos físicos reales y exactos. − Inteligencia artificial: que aprenda a caminar por sí mismo, utilizando para ello métodos de soft computing como algoritmos genéticos."