Title
Many-objective cooperative co-evolutionary linear genetic programming applied to the automatic microcontroller program generation
Date Issued
01 January 2019
Access level
open access
Resource Type
journal article
Publisher(s)
Science and Information Organization
Abstract
In this article, a methodology for the generation of programs in assembly language for microcontroller-based systems is proposed, applying a many-objective cooperative co-evolutionary linear genetic programming based on the decomposition of a program into segments, which evolve simultaneously, collaborating with each other in the process. The starting point for the program generation is a table of input/output examples. Two methods of fitness evaluation are also proposed. When the objective is to find a binary combination, the authors propose fitness evaluation with an exhaustive search for the output of each bit of the binary combination in the genetic program. On the other hand, when the objective is to generate specific variations of the logical values in the pins of the microcontroller's port, the authors propose calculating the fitness, comparing the timing diagrams generated by the genetic program with the desired timing diagrams. The methodology was tested in the generation of drivers for the 4x4 matrix keyboard and character LCD module devices. The experimental results demonstrate that for certain tasks, the use of the proposed method allows for the generation of programs capable of competing with programs written by human programmers.
Start page
21
End page
31
Volume
10
Issue
1
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Ingeniería eléctrica, Ingeniería electrónica
Subjects
Scopus EID
2-s2.0-85063000412
Source
International Journal of Advanced Computer Science and Applications
ISSN of the container
2158107X
Sources of information:
Directorio de Producción Científica
Scopus