Asynchronous particle swarm optimization for swarm robotics
In the original particle swarm optimization algorithm, particles’ update is done synchronously. The whole swarm fitness is evaluated first before particle update process is conducted. Whereas in asynchronous update a particle is able to update its velocity and position after its fitness is evaluated...
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ump-253242019-12-09T04:45:37Z http://umpir.ump.edu.my/id/eprint/25324/ Asynchronous particle swarm optimization for swarm robotics Nor Azlina, Ab. Aziz Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering In the original particle swarm optimization algorithm, particles’ update is done synchronously. The whole swarm fitness is evaluated first before particle update process is conducted. Whereas in asynchronous update a particle is able to update its velocity and position after its fitness is evaluated. This caused the particle's search to be conducted with imperfect information. However, asynchronous update is useful in field such as swarm robotics search problem, where the robots can move continuously based on the available information without waiting for the whole swarm. Hence this paper looks into the differences between synchronous and asynchronous PSO and its application in swarm robotics search. Elsevier Ltd 2012 Article PeerReviewed pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/25324/1/Asynchronous%20particle%20swarm%20optimization%20for%20swarm%20robotics.pdf Nor Azlina, Ab. Aziz and Zuwairie, Ibrahim (2012) Asynchronous particle swarm optimization for swarm robotics. Procedia Engineering, 41. pp. 951-957. ISSN 1877-7058 https://doi.org/10.1016/j.proeng.2012.07.268 https://doi.org/10.1016/j.proeng.2012.07.268 |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Nor Azlina, Ab. Aziz Zuwairie, Ibrahim Asynchronous particle swarm optimization for swarm robotics |
description |
In the original particle swarm optimization algorithm, particles’ update is done synchronously. The whole swarm fitness is evaluated first before particle update process is conducted. Whereas in asynchronous update a particle is able to update its velocity and position after its fitness is evaluated. This caused the particle's search to be conducted with imperfect information. However, asynchronous update is useful in field such as swarm robotics search problem, where the robots can move continuously based on the available information without waiting for the whole swarm. Hence this paper looks into the differences between synchronous and asynchronous PSO and its application in swarm robotics search. |
format |
Article |
author |
Nor Azlina, Ab. Aziz Zuwairie, Ibrahim |
author_facet |
Nor Azlina, Ab. Aziz Zuwairie, Ibrahim |
author_sort |
Nor Azlina, Ab. Aziz |
title |
Asynchronous particle swarm optimization for swarm robotics |
title_short |
Asynchronous particle swarm optimization for swarm robotics |
title_full |
Asynchronous particle swarm optimization for swarm robotics |
title_fullStr |
Asynchronous particle swarm optimization for swarm robotics |
title_full_unstemmed |
Asynchronous particle swarm optimization for swarm robotics |
title_sort |
asynchronous particle swarm optimization for swarm robotics |
publisher |
Elsevier Ltd |
publishDate |
2012 |
url |
http://umpir.ump.edu.my/id/eprint/25324/ http://umpir.ump.edu.my/id/eprint/25324/ http://umpir.ump.edu.my/id/eprint/25324/ http://umpir.ump.edu.my/id/eprint/25324/1/Asynchronous%20particle%20swarm%20optimization%20for%20swarm%20robotics.pdf |
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2023-09-18T22:38:50Z |
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2023-09-18T22:38:50Z |
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