The scanning electron microscope (SEM), as one of the most commonly used instruments in
biology and material sciences, employs electrons instead of light to determine the surface …

Evolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in
solving combinatorial and NP-hard optimization problems in various research fields …

The kernel parameters setting of SVM influences prediction precision. The hybrid model
based on SVM for regression and improved differential evolution is proposed to enhance the …

Differential evolution (DE) is a simple and powerful population-based evolutionary
algorithm. The success of DE in solving a specific problem crucially depends on …

The Differential Evolution algorithm represents an adaptive search process for solving
engineering and machine learning optimization problems. Performance of this algorithm rely …

In this article, we propose a Multi Layer Compound Markov Random Field (MLCMRF) Model
to spatially segment different image frames of a given video sequence. The segmented …

In this article a novel algorithm is proposed to segment a pair of images simultaneously (co-
segmentation) for extracting common objects. The task of co-segmentation has been …

Abstract The Scanning Electron Microscope (SEM) as 2D imaging equipment has been
widely used in biology and material sciences to determine the surface attributes of a …

The kernel parameters setting for SVM in a training process impacts on the classification
accuracy. The hybrid framework based on SVM and ensemble differential evolution is …

Prediction of behavior of the dynamical systems, analysis and modeling of its structure is
vitally important problem in engineering, economy and science today. Examples of such …