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Genetic algorithms, GA's are metaheuristic techniques that have obtained good results in problems in which exhaustive techniques fail due to the size of the search space. GA's have been widely used to solve problems in the fields of combinatorial and numerical optimization. Due to their stochastic nature, their behaviour when dealing with some problems is difficult to predict. However, there have...
In this paper we have used the Markovian process algebra ROSA to both specify and analyze the memorizing process. ROSA, reasoning on stochastic algebras, is an algebraic language for the description of probabilistic and non-deterministic processes, which allows us to evaluate performance indexes and to check some temporal requirements.
In this paper we have developed a statistical study to approximate the value of the two most accepted parameters as main temporal factors within the consolidation process. A comparative study about the time elapsed between the first and the second rehearsals when memorising a list of irregular verbs has been researched, to reach the goal of estimating the optimum value for this parameter, as well...
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