Examinando Presentaciones a Congresos por Materia "ALGORITMOS GENETICOS"
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- Ponencia en CongresoDiscovering 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."
- Ponencia en CongresoFrom 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."