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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Genetic Programming-Based Code Generation for Arduino
Digital Object Identifier (DOI) : 10.14569/IJACSA.2020.0111168
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 11, 2020.
Abstract: This article describes a methodology for writing the program for the Arduino board using an automatic generator of assembly language routines that works based on a cooperative coevolutionary multi-objective linear genetic programming algorithm. The methodology is described in an illustrative example that consists of the development of the program for a digital thermometer organized on a circuit formed by the Arduino Mega board, a text LCD module, and a temperature sensor. The automatic generation of a routine starts with an input-output table that can be created in a spreadsheet. The following routines have been automatically generated: initialization routine for the text LCD screen, routine for determining the temperature value, routine for converting natural binary code into unpacked two-digit BCD code, routine for displaying a symbol on the LCD screen. The application of this methodology requires basic knowledge of the assembly programming language for writing the main program and some initial configuration routines. With the application of this methodology in the illustrative example, 27% of the program lines were written manually, while the remaining 73% were generated automatically. The program, produced with the application of this methodology, preserves the advantage of assembly language programs of generating machine code much smaller than that generated by using the Arduino programming language.
Keywords: Genetic programming; Arduino mega board; multi-objective linear genetic programming; cooperative coevolutionary algorithm; automatic generation of programs; Arduino based thermometer
Wildor Ferrel and Luis Alfaro, “Genetic Programming-Based Code Generation for Arduino” International Journal of Advanced Computer Science and Applications(IJACSA), 11(11), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111168
@article{Ferrel2020,
title = {Genetic Programming-Based Code Generation for Arduino},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111168},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111168},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {11},
author = {Wildor Ferrel and Luis Alfaro}
}
