œ-Boids Consensus Algorithm using Adaptive Flocking Model

Muhammad Majid Gulzar; Muhammad Munawar; Javaria Khalil; Daud Sibtain; Adeel Ahmed

doi:10.1109/ICCIS54243.2021.9676404

œ-Boids Consensus Algorithm using Adaptive Flocking Model

Muhammad Majid Gulzar^*
, Muhammad Munawar
, Javaria Khalil
, Daud Sibtain
, Adeel Ahmed

^*Corresponding author for this work

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

8 Scopus citations

Abstract

Multi-agent flocking means to achieve some common group objectives by interacting with each other. In this paper, an adaptive flocking model is implemented to achieve the consensus of multi-agents. By using this model, consensus can be implemented by randomly choosing the initial positions and velocities of the agents. Moreover, by using different graph topologies, the simulation results for 7 agents (N= 7) are demonstrated to ensure the convergence of the agent's average velocity, positions and directions at different iterations.

Original language	English
Title of host publication	Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021
Editors	Muhammad Taha Jilani
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665494410
DOIs	https://doi.org/10.1109/ICCIS54243.2021.9676404
State	Published - 2021
Externally published	Yes
Event	4th IEEE International Conference on Computing and Information Sciences, ICCIS 2021 - Karachi, Pakistan Duration: 29 Nov 2021 → 30 Nov 2021

Publication series

Name	Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021

Conference

Conference	4th IEEE International Conference on Computing and Information Sciences, ICCIS 2021
Country/Territory	Pakistan
City	Karachi
Period	29/11/21 → 30/11/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Boids
Consensus
Flocking model
Graph topology
Multi-agent systems

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Control and Optimization
Information Systems
Information Systems and Management
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ICCIS54243.2021.9676404

Cite this

Gulzar, M. M., Munawar, M., Khalil, J., Sibtain, D., & Ahmed, A. (2021). œ-Boids Consensus Algorithm using Adaptive Flocking Model. In M. T. Jilani (Ed.), Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021 (Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCIS54243.2021.9676404

Gulzar, Muhammad Majid ; Munawar, Muhammad ; Khalil, Javaria et al. / œ-Boids Consensus Algorithm using Adaptive Flocking Model. Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021. editor / Muhammad Taha Jilani. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021).

@inproceedings{c2eb024d0d6f4fa3b33858e34a3aa540,

title = "{\oe}-Boids Consensus Algorithm using Adaptive Flocking Model",

abstract = "Multi-agent flocking means to achieve some common group objectives by interacting with each other. In this paper, an adaptive flocking model is implemented to achieve the consensus of multi-agents. By using this model, consensus can be implemented by randomly choosing the initial positions and velocities of the agents. Moreover, by using different graph topologies, the simulation results for 7 agents (N= 7) are demonstrated to ensure the convergence of the agent's average velocity, positions and directions at different iterations.",

keywords = "Boids, Consensus, Flocking model, Graph topology, Multi-agent systems",

author = "Gulzar, \{Muhammad Majid\} and Muhammad Munawar and Javaria Khalil and Daud Sibtain and Adeel Ahmed",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 4th IEEE International Conference on Computing and Information Sciences, ICCIS 2021 ; Conference date: 29-11-2021 Through 30-11-2021",

year = "2021",

doi = "10.1109/ICCIS54243.2021.9676404",

language = "English",

series = "Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021",

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

editor = "Jilani, \{Muhammad Taha\}",

booktitle = "Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021",

address = "United States",

}

Gulzar, MM, Munawar, M, Khalil, J, Sibtain, D & Ahmed, A 2021, œ-Boids Consensus Algorithm using Adaptive Flocking Model. in MT Jilani (ed.), Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021. Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021, Institute of Electrical and Electronics Engineers Inc., 4th IEEE International Conference on Computing and Information Sciences, ICCIS 2021, Karachi, Pakistan, 29/11/21. https://doi.org/10.1109/ICCIS54243.2021.9676404

œ-Boids Consensus Algorithm using Adaptive Flocking Model. / Gulzar, Muhammad Majid; Munawar, Muhammad; Khalil, Javaria et al.
Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021. ed. / Muhammad Taha Jilani. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021).

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

TY - GEN

T1 - œ-Boids Consensus Algorithm using Adaptive Flocking Model

AU - Gulzar, Muhammad Majid

AU - Munawar, Muhammad

AU - Khalil, Javaria

AU - Sibtain, Daud

AU - Ahmed, Adeel

PY - 2021

Y1 - 2021

N2 - Multi-agent flocking means to achieve some common group objectives by interacting with each other. In this paper, an adaptive flocking model is implemented to achieve the consensus of multi-agents. By using this model, consensus can be implemented by randomly choosing the initial positions and velocities of the agents. Moreover, by using different graph topologies, the simulation results for 7 agents (N= 7) are demonstrated to ensure the convergence of the agent's average velocity, positions and directions at different iterations.

AB - Multi-agent flocking means to achieve some common group objectives by interacting with each other. In this paper, an adaptive flocking model is implemented to achieve the consensus of multi-agents. By using this model, consensus can be implemented by randomly choosing the initial positions and velocities of the agents. Moreover, by using different graph topologies, the simulation results for 7 agents (N= 7) are demonstrated to ensure the convergence of the agent's average velocity, positions and directions at different iterations.

KW - Boids

KW - Consensus

KW - Flocking model

KW - Graph topology

KW - Multi-agent systems

UR - https://www.scopus.com/pages/publications/85125355196

U2 - 10.1109/ICCIS54243.2021.9676404

DO - 10.1109/ICCIS54243.2021.9676404

M3 - Conference contribution

AN - SCOPUS:85125355196

T3 - Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021

BT - Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021

A2 - Jilani, Muhammad Taha

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE International Conference on Computing and Information Sciences, ICCIS 2021

Y2 - 29 November 2021 through 30 November 2021

ER -

Gulzar MM, Munawar M, Khalil J, Sibtain D, Ahmed A. œ-Boids Consensus Algorithm using Adaptive Flocking Model. In Jilani MT, editor, Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings - 2021 IEEE 4th International Conference on Computing and Information Sciences, ICCIS 2021). doi: 10.1109/ICCIS54243.2021.9676404

œ-Boids Consensus Algorithm using Adaptive Flocking Model

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this