Titlebook: Intelligent Systems; 9th Brazilian Confer Ricardo Cerri,Ronaldo C. Prati Conference proceedings 2020 Springer Nature Switzerland AG 2020 ar

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https://doi.org/10.1007/978-3-030-61377-8artificial intelligence; computational linguistics; computer vision; data mining; education; genetic algo

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An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiersmbles have two drawbacks. First, ensembles are usually considered a ‘black box’, non-interpretable type of classification model, mainly because typically there are a very large number of classifiers in the ensemble (and often each classifier in the ensemble is a black-box classifier by itself). This

FEMUR

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Applying Dynamic Evolutionary Optimization to the Multiobjective Knapsack Problemrithms to deal with such problems. In the last few years, many evolutionary optimization algorithms have investigated dynamic problems, being that some of the most recent papers investigate formulations with more than one objective to be optimized at the same time. Although evolutionary optimization

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Backtracking Group Search Optimization: A Hybrid Approach for Automatic Data Clusteringtandard clustering methods, such as the partitional data clustering algorithms, are easily trapped in local minimum solutions, due to their lack of good global searching mechanisms. Evolutionary Algorithms (EAs) and Swarm Intelligence (SIs) methods, such as Group Search Optimization (GSO) and Backtr

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EvoLogic: Intelligent Tutoring System to Teach Logic Deduction in Propositional Logic. EvoLogic consists of 3 agents, among which, the Pedagogical agent (treated here as the student model) and the Specialist agent (based on a Genetic Algorithm) compose the cognitive model. This cognitive model allows an efficient model tracing mechanism to be develop

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