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]
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 |
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Departments, Centres and Research Units | Computing |
Date Deposited | 01 Dec 2015 11:43 |
Last Modified | 20 Jun 2017 09:39 |