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.
Contents
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Open AccessStochastic Diffusion Search ReviewDecember 27, 2013
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Open AccessUsing Augmented Reality to Improve Usability of the User Interface for Driving a Telepresence RobotDecember 27, 2013
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December 27, 2013
Issues in this Volume
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Issue 4Special Issue on Maritime Robotics
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Issue 3
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Issue 2Special Issue on Assistive Robotics
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Issue 1
Issues in this Volume
-
Issue 4Special Issue on Maritime Robotics
-
Issue 3
-
Issue 2Special Issue on Assistive Robotics
-
Issue 1