A novel fly optimization algorithm for swarming application

Zulkifli Zainal Abidin; Mohd Rizal Arshad; Umi Kalthum Ngah; Ong Boon Ping

doi:10.1109/RAMECH.2010.5513157

A novel fly optimization algorithm for swarming application

Zulkifli Zainal Abidin, Mohd Rizal Arshad, Umi Kalthum Ngah, Ong Boon Ping

Universiti Sains Malaysia

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

5 Citations (Scopus)

Abstract

This paper presents an initial development stage of Fly Optimization Algorithm which will be used for the path planning system of a swarm of autonomous surface vehicles. This algorithm was initially designed to be implemented for a swarm of robots which would be able to locate the deepest portion of lakes. The ability of the robots to reach the designated target points will therefore also be considered.

Original language	English
Title of host publication	2010 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2010
Pages	425-428
Number of pages	4
DOIs	https://doi.org/10.1109/RAMECH.2010.5513157
Publication status	Published - 2010
Externally published	Yes
Event	2010 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2010 - Singapore, Singapore Duration: 28 Jun 2010 → 30 Jun 2010

Publication series

Name	2010 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2010

Conference

Conference	2010 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2010
Country/Territory	Singapore
City	Singapore
Period	28/06/10 → 30/06/10

Keywords

Drosophila
Metaheuristics

Access to Document

10.1109/RAMECH.2010.5513157

Cite this

@inproceedings{823b288c9d75433abae753706a1de651,

title = "A novel fly optimization algorithm for swarming application",

abstract = "This paper presents an initial development stage of Fly Optimization Algorithm which will be used for the path planning system of a swarm of autonomous surface vehicles. This algorithm was initially designed to be implemented for a swarm of robots which would be able to locate the deepest portion of lakes. The ability of the robots to reach the designated target points will therefore also be considered.",

keywords = "Drosophila, Metaheuristics",

author = "Abidin, {Zulkifli Zainal} and Arshad, {Mohd Rizal} and Ngah, {Umi Kalthum} and Ping, {Ong Boon}",

year = "2010",

doi = "10.1109/RAMECH.2010.5513157",

language = "English",

isbn = "9781424465033",

series = "2010 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2010",

pages = "425--428",

booktitle = "2010 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2010",

note = "2010 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2010 ; Conference date: 28-06-2010 Through 30-06-2010",

}

Abidin, ZZ, Arshad, MR, Ngah, UK & Ping, OB 2010, A novel fly optimization algorithm for swarming application. in 2010 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2010., 5513157, 2010 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2010, pp. 425-428, 2010 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2010, Singapore, Singapore, 28/06/10. https://doi.org/10.1109/RAMECH.2010.5513157

A novel fly optimization algorithm for swarming application. / Abidin, Zulkifli Zainal; Arshad, Mohd Rizal; Ngah, Umi Kalthum et al.
2010 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2010. 2010. p. 425-428 5513157 (2010 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2010).

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

TY - GEN

T1 - A novel fly optimization algorithm for swarming application

AU - Abidin, Zulkifli Zainal

AU - Arshad, Mohd Rizal

AU - Ngah, Umi Kalthum

AU - Ping, Ong Boon

PY - 2010

Y1 - 2010

N2 - This paper presents an initial development stage of Fly Optimization Algorithm which will be used for the path planning system of a swarm of autonomous surface vehicles. This algorithm was initially designed to be implemented for a swarm of robots which would be able to locate the deepest portion of lakes. The ability of the robots to reach the designated target points will therefore also be considered.

AB - This paper presents an initial development stage of Fly Optimization Algorithm which will be used for the path planning system of a swarm of autonomous surface vehicles. This algorithm was initially designed to be implemented for a swarm of robots which would be able to locate the deepest portion of lakes. The ability of the robots to reach the designated target points will therefore also be considered.

KW - Drosophila

KW - Metaheuristics

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U2 - 10.1109/RAMECH.2010.5513157

DO - 10.1109/RAMECH.2010.5513157

M3 - Conference Proceeding

AN - SCOPUS:77955676722

SN - 9781424465033

T3 - 2010 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2010

SP - 425

EP - 428

BT - 2010 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2010

T2 - 2010 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2010

Y2 - 28 June 2010 through 30 June 2010

ER -

A novel fly optimization algorithm for swarming application

Abstract

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Keywords

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