Several aspects may influence the performance achieved by a classifier created by a Machine Learning system. One of these aspects is related to the difference between the numbers of examples belonging to each class. When this difference is large, the learning system may have difficulties to learn the concept related to the minority class. In this work, we discuss several issues related to learn...

In this paper we investigate whether the differential evolution of child labor across Brazilian states between 1980 and 2000 can be explained by their different patterns of specialization in industries where children have a comparative advantage. We find that the adoption of different industries mixes by different states accounts for 20% to 30% of the observed variation in child labor in rural ...

Reversible data hiding is a type of data hiding techniques whereby the host image can be recovered exactly. Being lossless makes this technique suitable for medical and military applications. Difference expansion (DE) is one of the most important techniques which are used for reversible data hiding. This technique received more attention over the years because of its high efficiency and simplic...

Geometric Differential Evolution (GDE) is a very recently introduced formal generalization of traditional Differential Evolution (DE) that can be used to derive specific GDE for both continuous and combinatorial spaces retaining the same geometric interpretation of the dynamics of the DE search across representations. In this paper, we derive formally a specific GDE for the space of genetic pro...

Crossover rate (CR) is a key parameter affecting the operation of differential evolution (DE). According to the different status appear in CR adaptive process, the present paper employs power mean averaging operators to improve the value of CR in appropriate chance and propose a Power Mean based Crossover Rate Adaptive Differential Evolution (PMCRADE). The performance of PMCRADE is evaluated on...

We introduce differential fitness transmission as a signature of adaptive, Darwinian evolution, which can be detected using genealogical records of a reproducing population. This method is motivated by the observation that Darwinian evolution fundamentally consists in the differential transmission of heritable, fitness-affecting traits that result in differential transmission of fitness itself:...

The displacement back analysis is an effective means on inversion of rock mechanical parameters. Differential evolution algorithm has many advantages and good prospects to solve problems of geotechnical parameters. The program is used to the simulation of the true tunnel with C++ language, while it is embedded into differential evolution algorithm to achieve the inversion parameter. Applying to...

Abstract. The method of moments in the context of Nonlinear Schrödinger Equations relies on defining a set of integral quantities, which characterize the solution of this partial differential equation and whose evolution can be obtained from a set of ordinary differential equations. In this paper we find all cases in which the method of moments leads to closed evolution equations, thus extendin...

This paper presents a method for automatically pair–wise registering range images. Registration is effected adding chaos to a Differential Evolution technique and by applying the Grid Closest Point algorithm to find the best possible transformation of the second image causing 3D reconstruction of the original object. Experimental results show the capability of the method in picking up efficient...