Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

The term 'Memetic Algorithms'[74](MAs) was introduced in the late 80s to denote a family of
metaheuristics that have as central theme the hybridization of different algorithmic …

Extracting discriminative and robust features from video sequences is the first and most
critical step in human action recognition. In this paper, instead of using handcrafted features …

Memetic algorithms are optimization techniques based on the synergistic combination of
ideas taken from different algorithmic solvers, such as population-based search (as in …

In order to solve the image segmentation problem which assigns a label to every pixel in an
image such that pixels with the same label share certain visual characteristics more …

Thetermmemeticalgorithms [1](MAs) wasintroducedinthelate1980stodenoteafam… that have
as central theme the hybridization of different algorithmic approaches for a given problem …

When an image is given with only some measurable data, eg, projections, the most
important task is to reconstruct it, ie, to find an image that provides the measured data. These …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The diversity in the operator …

In this work we study the relation between the quality of a binary tomographic reconstruction
and the choice of angles of the projections. We conduct experiments on a set of software …

In this paper we present a novel algorithm for reconstructing binary images containing
objects which can be described by some parameters. In particular, we investigate the …