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]No full text available
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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.