Goldsmiths - University of London

Stabilizing swarm intelligence search via positive feedback resource allocation

Nasuto, S. and Bishop, Mark (J. M.). 2008. Stabilizing swarm intelligence search via positive feedback resource allocation. In: G Nicosia; Natalio Krasnogor; D Pelta and M Pavone, eds. Nature Inspired Cooperative Strategies for Optimization, Studies in Computational Intelligence, vol 129. 129 Springer: Berlin, Heidelberg, New York, pp. 115-123. ISBN 978-3642240935 [Book Section]

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Abstract or Description

A novel Swarm Intelligence method for best-¯t search, Stochastic Diffusion Search, is presented capable of rapid location of the optimal solution in the search space. Population based search mechanisms employed by Swarm Intelligence methods can su®er lack of convergence resulting in ill de¯ned stopping criteria and loss of the best solution. Conversely, as a result of its resource allocation mechanism, the solutions SDS discovers enjoy excellent stability.

Item Type: Book Section
Departments, Centres and Research Units: Computing
Item ID: 15132
Date Deposited: 01 Dec 2015 11:43
Last Modified: 06 Jun 2016 13:26
URI: http://research.gold.ac.uk/id/eprint/15132
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