Although fuzzy systems demonstrated their ability to solve different kinds of problems in
various applications, there is an increasing interest on augmenting them with learning …

One of the ways to solve classification problems with real-value attributes using a Learning
Classifier System is the use of a discretization algorithm, which enables traditional discrete …

To select an adequate coding is one of the main problems in applications based on
Evolutionary Algorithms. Many codings have been proposed to represent the search space …

Decision making has been traditionally based on a managers experience. This paper,
however, discusses how a software project simulator based on System Dynamics and …

This chapter provides a short overview of a GA-based system for inductive concept learning
(in a fragment of first-order logic). The described system exploits problem-specific …

This paper presents, for discrete data, a new crossover operator to be used together with the
Natural Coding. This new operator, differently of the already existing one, beyond …

The relationship between doctors and their patients is gaining more and more importance in
the health care providing. It determines the compliance of the treatment and a part of the …

Aguilar-Ruiz et al proposed crossover operators, both discrete and continuous, for the
natural representation (henceforth called NCO). NCO showed advantages in accuracy and …

One of the most influential factors in the quality of the solutions found by an evolutionary
algorithm is the appropriateness of the fitness function. Specifically in data mining, in where …

This paper proposes two alternative methods for dealing with numerical attributes in
inductive concept learning systems based on genetic algorithms. The methods use …