This proof of concept study examines the possibility of specifying the construction of programs using Differential Evolution, and represents a new form of grammar-based genetic programming, Grammatical Differential Evolution (GDE). In GDE each individual member of the population represents a specific choice of program construction rules, where these rules are specified using a Backus-Naur Form ...

1 Differential Evolution Approach Using Chaotic Sequences Applied to Planning of Mobile Robot in a Static Environment with Obstacles Leandro dos Santos Coelho, Nadia Nedjah, Luiza de Macedo Mourelle . . . 3 1.

1. INTRODUCTION. Written in block capitals on lined paper, the letter bore a postmark from a Northeastern seaport. " I have a problem that I would like to solve, " the letter began, " but unfortunately I cannot. I dropped out from 2nd year high school, and this problem is too tough for me. " There followed the diagram shown in Figure 1 along with the statement of the problem: to prove that the ...

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...