Many large combinatorial optimization problems tackled with evolutionary algorithms often
require very high computational times, usually due to the fitness evaluation. This fact forces …

The association rules mining (ARM) problem is one of the most important problems in the
area of data mining. It aims at finding all relevant association rules from transactional …

In this paper, an optimization method that provides quick response using artificial immune
system, is proposed and applied to a mobile robot for trajectory tracking. The study focuses …

I would like to thank Leonardo Vanneschi and Leonardo Trujillo for the opportunity to lead
their peer commentary on the thirtieth anniversary of John R. Koza's book “Genetic …

A novel approach is suggested in this paper for the minimization of Boolean expressions.
This is particularly useful in logic synthesis, since it leads to simpler logic circuit …

This paper presents a lookup-table sharing scheme for implementing Boolean functions on
Xilinx FPGAs. The scheme aims to exploit each LUT6 primitive on FPGAs as two Boolean …

Control architectures based on Emotions are becoming promising solutions for the
implementation of future robotic agents. The basic controllers of the architecture are the …

In order to reduce the evolution time in evolutionary design Boolean functions, we encode
the Reed-Muller expression as the chromosome and devise a Reed-Muller Partition Tree …

The use of evolutionary algorithms in the boolean synthesis is an attractive alternative to
generate interesting and efficient hardware structures, with a high computational load. This …

Los agentes artificiales constituyen una tecnología de apoyo para la resolución de
problemas. Un agente es un sistema con un grado significativo de autonomía, lo que le …