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Titlebook: Applications of Evolutionary Computation; 21st International C Kevin Sim,Paul Kaufmann Conference proceedings 2018 Springer International P

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https://doi.org/10.1007/978-3-030-10576-1”, was implemented for solving large-scale portfolio optimization problem with cardinality constraint using the real-world data set having scale up to 2196 dimensions. Moreover, its performances were benchmarked with those of the SPEA-II and MOPSO.
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https://doi.org/10.1007/978-3-030-10576-1t a comprehensive study by examining six widely used feature selection methods in machine learning for filtering interacting SNPs rather than the ones with strong individual main effects. Those six feature selection methods include chi-square, logistic regression, odds ratio, and three Relief-based
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Adapting Pedagogy for Formative Assessmentized with local searches. The communities detected through the aforementioned method have been studied to search similarities in terms of number of posts, sentiments, number of contacts, roles, behaviors, etc. The results demonstrate that it is possible to detect such subsets of users in the particu
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Jon-Philip Imbrenda,Michael W. Smithgent. Our model is an Ising model defined on a Watts-Strogatz network. We perform Monte Carlo simulations on the effect of interaction and use a genetic algorithm with a mutation matrix to find the best way of rewiring to amplify the effect of the agent in influencing the result of the election. We
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Advanced Computer Human Interactionsertakes both mechanical tasks and purely mental exercises. One of the most avant-garde approaches in this regard is the discovery of connectivity patterns among different parts of the human brain unveiled by very diverse sources of information (e.g. magneto- or electro-encephalography – M/EEG, funct
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https://doi.org/10.1007/978-3-030-10576-1disease and to provide better diagnoses, treatment, and even prevention. The non-linear interactions among multiple genetic factors play an important role in finding those genetic variations, but have not always been taken fully into account. This is due to the fact that searching combinations of in
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https://doi.org/10.1007/978-3-030-10576-1ancer. However, manual analysis is a complex task due to its subjectivity. To help specialists in the identification of regions of interest, segmentation methods are used on histological images obtained by the digitization of tissue samples. Besides, features extracted from these specific regions al
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