In current Proteomics, prediction of protein-protein interactions (PPI) is a crucial aim as these interactions take part in most essential biological processes. In this paper, we propose a new approach to PPI dataset ...
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This paper considers the ship path following problem with state and input constraints. The control problem associated with path following is formulated as a Model Predictive Control (MPC) with adjustable parameters. T...
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This paper focuses on the extensive use of Fuzzy Logic Controllers (FLCS) in various human applications, showing the great contribution added to intelligent control. Overall, this survey covers a broad selection of ex...
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In Java programs, it needs to use the information of the method type to resolve the virtual method dynamically, which restricts the performance greatly. Currently, the solution is mainly the technique of inline cachin...
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In this paper we introduce two kinds of fuzzy histograms on the basis of fuzzy colors in a fuzzy color space and the notion of gradual number by Dubois and Prade. Fuzzy color spaces are a collection of fuzzy sets prov...
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XML has became a standard for structured data, and very often transformations from one specific format to another are needed. XSLT stylesheets are programs designed for this purpose, and they use XPath expressions to ...
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Neuromorphic engineers study models and implementations of systems that mimic neurons behavior in the brain. Neuro-inspired systems commonly use spikes to represent information. This representation has several advanta...
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One of the most promising areas in which probabilistic graphical models have shown an incipient activity is the field of heuristic optimization and, in particular, in the Estimation of Distribution Algorithms (EDAs). ...
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ISBN:
(纸本)9780889868182
One of the most promising areas in which probabilistic graphical models have shown an incipient activity is the field of heuristic optimization and, in particular, in the Estimation of Distribution Algorithms (EDAs). EDAs constitute a well-known family of Evolutionary Computation techniques, similar to Genetic Algorithms. Due to their inherent parallelism, different research lines have been studied trying to improve EDAs from the point of view of execution time and/or accuracy. Among these proposals, we focus on the so-called island-based models. This approach defines several islands (EDA instances) running independently and exchanging information with a given frequency. The information sent by the islands can be a set of individuals or a probabilistic model. This paper presents a comparative study of both information exchanging techniques for a univariate EDA (UMDAg) over a wide set of parameters and problems -the standard benchmark developed for the IEEEWorkshop on Evolutionary Algorithms and other Metaheuristics for Continuous Optimization Problems of the ISDA 2009 Conference. The study concludes that the configurations based on migrating individuals obtain better results.
We present here an approach for automatic mass diagnosis in mammographic images. Our strategy contains three main steps. Firstly, region of interests containing mass and background are segmented using a level set algo...
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