Stochastic Diffusion Search Review

Stochastic Diffusion Search, first incepted in 1989, belongs to the extended family of swarm intelligence algorithms. In contrast to many nature-inspired algorithms, stochastic diffusion search has a strong mathematical framework describing its behaviour and convergence. In addition to concisely exp...

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Bibliographic Details
Main Authors: al-Rifaie Mohammad Majid, Bishop John Mark
Format: Article
Language:English
Published: De Gruyter 2013-12-01
Series:Paladyn: Journal of Behavioral Robotics
Subjects:
Online Access:https://doi.org/10.2478/pjbr-2013-0021
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spelling doaj-aa70677ac8df42768e2bbd143126dd962021-10-02T18:55:08ZengDe GruyterPaladyn: Journal of Behavioral Robotics2081-48362013-12-014315517310.2478/pjbr-2013-0021Stochastic Diffusion Search Reviewal-Rifaie Mohammad Majid0Bishop John Mark1Goldsmiths College, University of London New Cross Gate, London SE14 6NW, United KingdomGoldsmiths College, University of London New Cross Gate, London SE14 6NW, United KingdomStochastic Diffusion Search, first incepted in 1989, belongs to the extended family of swarm intelligence algorithms. In contrast to many nature-inspired algorithms, stochastic diffusion search has a strong mathematical framework describing its behaviour and convergence. In addition to concisely exploring the algorithm in the context of natural swarm intelligence systems, this paper reviews various developments of the algorithm, which have been shown to perform well in a variety of application domains including continuous optimisation, implementation on hardware and medical imaging. This algorithm has also being utilised to argue the potential computational creativity of swarm intelligence systems through the two phases of exploration and exploitation.https://doi.org/10.2478/pjbr-2013-0021swarm intelligenceresource allocationoptimisationsearchinformation exchange
collection DOAJ
language English
format Article
sources DOAJ
author al-Rifaie Mohammad Majid
Bishop John Mark
spellingShingle al-Rifaie Mohammad Majid
Bishop John Mark
Stochastic Diffusion Search Review
Paladyn: Journal of Behavioral Robotics
swarm intelligence
resource allocation
optimisation
search
information exchange
author_facet al-Rifaie Mohammad Majid
Bishop John Mark
author_sort al-Rifaie Mohammad Majid
title Stochastic Diffusion Search Review
title_short Stochastic Diffusion Search Review
title_full Stochastic Diffusion Search Review
title_fullStr Stochastic Diffusion Search Review
title_full_unstemmed Stochastic Diffusion Search Review
title_sort stochastic diffusion search review
publisher De Gruyter
series Paladyn: Journal of Behavioral Robotics
issn 2081-4836
publishDate 2013-12-01
description Stochastic Diffusion Search, first incepted in 1989, belongs to the extended family of swarm intelligence algorithms. In contrast to many nature-inspired algorithms, stochastic diffusion search has a strong mathematical framework describing its behaviour and convergence. In addition to concisely exploring the algorithm in the context of natural swarm intelligence systems, this paper reviews various developments of the algorithm, which have been shown to perform well in a variety of application domains including continuous optimisation, implementation on hardware and medical imaging. This algorithm has also being utilised to argue the potential computational creativity of swarm intelligence systems through the two phases of exploration and exploitation.
topic swarm intelligence
resource allocation
optimisation
search
information exchange
url https://doi.org/10.2478/pjbr-2013-0021
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