Automatic Code Generation for Microcontroller-Based System Using Multi-objective Linear Genetic Programming

Wildor Ferrel Serruto; Luis Alfaro Casas

doi:10.1109/CSCI.2017.47

Automatic Code Generation for Microcontroller-Based System Using Multi-objective Linear Genetic Programming

Wildor Ferrel Serruto, Luis Alfaro Casas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Microcontroller-based systems often include peripheral devices such as matrix keyboard and character LCD module among others. We propose the application of the multi-objective linear genetic programming, for automatic generation of the assembly driver routines for these devices, to perform the operations: matrix keyboard scan, LCD module initialization and character display on LCD. For fitness evaluation, we assign a function to be maximized to each bit of the binary result or to the timing diagram of each used microcontroller Port pins. This decomposition of the problem used in a multi-objective evolutionary algorithm allows generating programs, in some cases, with smaller code size or shorter execution time than programs written by a human programmer.

Original language	English
Title of host publication	Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
Editors	Fernando G. Tinetti, Quoc-Nam Tran, Leonidas Deligiannidis, Mary Qu Yang, Mary Qu Yang, Hamid R. Arabnia
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	279-285
Number of pages	7
ISBN (Electronic)	9781538626528
DOIs	https://doi.org/10.1109/CSCI.2017.47
State	Published - 4 Dec 2018
Event	2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 - Las Vegas, United States Duration: 14 Dec 2017 → 16 Dec 2017

Publication series

Name	Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017

Conference

Conference	2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
Country/Territory	United States
City	Las Vegas
Period	14/12/17 → 16/12/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Automatic code generation
Linear genetic programming
Microcontroller-based system
Multi-objective evolutionary algorithm

Access to Document

10.1109/CSCI.2017.47

Cite this

Serruto, W. F., & Casas, L. A. (2018). Automatic Code Generation for Microcontroller-Based System Using Multi-objective Linear Genetic Programming. In F. G. Tinetti, Q-N. Tran, L. Deligiannidis, M. Q. Yang, M. Q. Yang, & H. R. Arabnia (Eds.), Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 (pp. 279-285). [8560802] (Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI.2017.47

Serruto, Wildor Ferrel ; Casas, Luis Alfaro. / Automatic Code Generation for Microcontroller-Based System Using Multi-objective Linear Genetic Programming. Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017. editor / Fernando G. Tinetti ; Quoc-Nam Tran ; Leonidas Deligiannidis ; Mary Qu Yang ; Mary Qu Yang ; Hamid R. Arabnia. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 279-285 (Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017).

@inproceedings{12c656856c8943cfa1a624fd306a68d4,

title = "Automatic Code Generation for Microcontroller-Based System Using Multi-objective Linear Genetic Programming",

abstract = "Microcontroller-based systems often include peripheral devices such as matrix keyboard and character LCD module among others. We propose the application of the multi-objective linear genetic programming, for automatic generation of the assembly driver routines for these devices, to perform the operations: matrix keyboard scan, LCD module initialization and character display on LCD. For fitness evaluation, we assign a function to be maximized to each bit of the binary result or to the timing diagram of each used microcontroller Port pins. This decomposition of the problem used in a multi-objective evolutionary algorithm allows generating programs, in some cases, with smaller code size or shorter execution time than programs written by a human programmer.",

keywords = "Automatic code generation, Linear genetic programming, Microcontroller-based system, Multi-objective evolutionary algorithm",

author = "Serruto, {Wildor Ferrel} and Casas, {Luis Alfaro}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 ; Conference date: 14-12-2017 Through 16-12-2017",

year = "2018",

month = dec,

day = "4",

doi = "10.1109/CSCI.2017.47",

language = "Ingl{\'e}s",

series = "Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "279--285",

editor = "Tinetti, {Fernando G.} and Quoc-Nam Tran and Leonidas Deligiannidis and Yang, {Mary Qu} and Yang, {Mary Qu} and Arabnia, {Hamid R.}",

booktitle = "Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017",

address = "Estados Unidos",

}

Serruto, WF & Casas, LA 2018, Automatic Code Generation for Microcontroller-Based System Using Multi-objective Linear Genetic Programming. in FG Tinetti, Q-N Tran, L Deligiannidis, MQ Yang, MQ Yang & HR Arabnia (eds), Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017., 8560802, Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017, Institute of Electrical and Electronics Engineers Inc., pp. 279-285, 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017, Las Vegas, United States, 14/12/17. https://doi.org/10.1109/CSCI.2017.47

Automatic Code Generation for Microcontroller-Based System Using Multi-objective Linear Genetic Programming. / Serruto, Wildor Ferrel ; Casas, Luis Alfaro.
Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017. ed. / Fernando G. Tinetti; Quoc-Nam Tran; Leonidas Deligiannidis; Mary Qu Yang; Mary Qu Yang; Hamid R. Arabnia. Institute of Electrical and Electronics Engineers Inc., 2018. p. 279-285 8560802 (Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automatic Code Generation for Microcontroller-Based System Using Multi-objective Linear Genetic Programming

AU - Serruto, Wildor Ferrel

AU - Casas, Luis Alfaro

PY - 2018/12/4

Y1 - 2018/12/4

N2 - Microcontroller-based systems often include peripheral devices such as matrix keyboard and character LCD module among others. We propose the application of the multi-objective linear genetic programming, for automatic generation of the assembly driver routines for these devices, to perform the operations: matrix keyboard scan, LCD module initialization and character display on LCD. For fitness evaluation, we assign a function to be maximized to each bit of the binary result or to the timing diagram of each used microcontroller Port pins. This decomposition of the problem used in a multi-objective evolutionary algorithm allows generating programs, in some cases, with smaller code size or shorter execution time than programs written by a human programmer.

AB - Microcontroller-based systems often include peripheral devices such as matrix keyboard and character LCD module among others. We propose the application of the multi-objective linear genetic programming, for automatic generation of the assembly driver routines for these devices, to perform the operations: matrix keyboard scan, LCD module initialization and character display on LCD. For fitness evaluation, we assign a function to be maximized to each bit of the binary result or to the timing diagram of each used microcontroller Port pins. This decomposition of the problem used in a multi-objective evolutionary algorithm allows generating programs, in some cases, with smaller code size or shorter execution time than programs written by a human programmer.

KW - Automatic code generation

KW - Linear genetic programming

KW - Microcontroller-based system

KW - Multi-objective evolutionary algorithm

UR - http://www.scopus.com/inward/record.url?scp=85060641374&partnerID=8YFLogxK

U2 - 10.1109/CSCI.2017.47

DO - 10.1109/CSCI.2017.47

M3 - Contribución a la conferencia

AN - SCOPUS:85060641374

T3 - Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017

SP - 279

EP - 285

BT - Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017

A2 - Tinetti, Fernando G.

A2 - Tran, Quoc-Nam

A2 - Deligiannidis, Leonidas

A2 - Yang, Mary Qu

A2 - Arabnia, Hamid R.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017

Y2 - 14 December 2017 through 16 December 2017

ER -

Serruto WF , Casas LA. Automatic Code Generation for Microcontroller-Based System Using Multi-objective Linear Genetic Programming. In Tinetti FG, Tran Q-N, Deligiannidis L, Yang MQ, Yang MQ, Arabnia HR, editors, Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 279-285. 8560802. (Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017). doi: 10.1109/CSCI.2017.47

Automatic Code Generation for Microcontroller-Based System Using Multi-objective Linear Genetic Programming

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this