Distributed multi-agent approach based on priority rules and genetic algorithm for tasks scheduling in multi-robot cells

Abderraouf Maoudj; Brahim Bouzouia; Abdelfetah Hentout; Ahmed Kouider; Redouane Toumi

doi:10.1109/IECON.2016.7792995

Distributed multi-agent approach based on priority rules and genetic algorithm for tasks scheduling in multi-robot cells

Abderraouf Maoudj
, Brahim Bouzouia
, Abdelfetah Hentout
, Ahmed Kouider
, Redouane Toumi

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

12 Scopus citations

Abstract

This paper deals with one of the most challenging decisional problems in multi-robot based production systems. It is related to tasks (products) scheduling, which requires the allocation of operations and their sequencing on the robots, while satisfying tasks and robots constraints under makespan minimization.

Original language	English
Title of host publication	Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	692-697
Number of pages	6
ISBN (Electronic)	9781509034741
DOIs	https://doi.org/10.1109/IECON.2016.7792995
State	Published - 21 Dec 2016
Externally published	Yes

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Distributed multi-agent systems
Genetic algorithm
Multi-robot cells
Priority rules
Production system

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IECON.2016.7792995

Cite this

Maoudj, A., Bouzouia, B., Hentout, A., Kouider, A., & Toumi, R. (2016). Distributed multi-agent approach based on priority rules and genetic algorithm for tasks scheduling in multi-robot cells. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 692-697). Article 7792995 (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7792995

Maoudj, Abderraouf ; Bouzouia, Brahim ; Hentout, Abdelfetah et al. / Distributed multi-agent approach based on priority rules and genetic algorithm for tasks scheduling in multi-robot cells. Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. pp. 692-697 (IECON Proceedings (Industrial Electronics Conference)).

@inproceedings{5d9d4aaddc6446af974e5d4b7238ab6b,

title = "Distributed multi-agent approach based on priority rules and genetic algorithm for tasks scheduling in multi-robot cells",

abstract = "This paper deals with one of the most challenging decisional problems in multi-robot based production systems. It is related to tasks (products) scheduling, which requires the allocation of operations and their sequencing on the robots, while satisfying tasks and robots constraints under makespan minimization.",

keywords = "Distributed multi-agent systems, Genetic algorithm, Multi-robot cells, Priority rules, Production system",

author = "Abderraouf Maoudj and Brahim Bouzouia and Abdelfetah Hentout and Ahmed Kouider and Redouane Toumi",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2016",

month = dec,

day = "21",

doi = "10.1109/IECON.2016.7792995",

language = "English",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

pages = "692--697",

booktitle = "Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society",

address = "United States",

}

Maoudj, A, Bouzouia, B, Hentout, A, Kouider, A & Toumi, R 2016, Distributed multi-agent approach based on priority rules and genetic algorithm for tasks scheduling in multi-robot cells. in Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society., 7792995, IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, pp. 692-697. https://doi.org/10.1109/IECON.2016.7792995

Distributed multi-agent approach based on priority rules and genetic algorithm for tasks scheduling in multi-robot cells. / Maoudj, Abderraouf; Bouzouia, Brahim; Hentout, Abdelfetah et al.
Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. p. 692-697 7792995 (IECON Proceedings (Industrial Electronics Conference)).

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

TY - GEN

T1 - Distributed multi-agent approach based on priority rules and genetic algorithm for tasks scheduling in multi-robot cells

AU - Maoudj, Abderraouf

AU - Bouzouia, Brahim

AU - Hentout, Abdelfetah

AU - Kouider, Ahmed

AU - Toumi, Redouane

PY - 2016/12/21

Y1 - 2016/12/21

N2 - This paper deals with one of the most challenging decisional problems in multi-robot based production systems. It is related to tasks (products) scheduling, which requires the allocation of operations and their sequencing on the robots, while satisfying tasks and robots constraints under makespan minimization.

AB - This paper deals with one of the most challenging decisional problems in multi-robot based production systems. It is related to tasks (products) scheduling, which requires the allocation of operations and their sequencing on the robots, while satisfying tasks and robots constraints under makespan minimization.

KW - Distributed multi-agent systems

KW - Genetic algorithm

KW - Multi-robot cells

KW - Priority rules

KW - Production system

UR - https://www.scopus.com/pages/publications/85010046947

U2 - 10.1109/IECON.2016.7792995

DO - 10.1109/IECON.2016.7792995

M3 - Conference contribution

AN - SCOPUS:85010046947

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 692

EP - 697

BT - Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society

PB - IEEE Computer Society

ER -

Maoudj A, Bouzouia B, Hentout A, Kouider A, Toumi R. Distributed multi-agent approach based on priority rules and genetic algorithm for tasks scheduling in multi-robot cells. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society. 2016. p. 692-697. 7792995. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON.2016.7792995

Distributed multi-agent approach based on priority rules and genetic algorithm for tasks scheduling in multi-robot cells

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this