Stabilizing swarm intelligence search via positive feedback resource allocationNasuto, S. and Bishop, M. (2008) Stabilizing swarm intelligence search via positive feedback resource allocation. In: Krasnogor, N., Nicosia, G., Pavone, M. and Pelta, D. (eds.) Nature Inspired Cooperative Strategies for Optimization. Studies in Computational Intelligence, 129. Springer, New York, pp. 115-123. ISBN 9783540789864 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Abstract/SummaryA novel Swarm Intelligence method for best-fit 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 suffer lack of convergence resulting in ill defined stopping criteria and loss of the best solution. Conversely, as a result of its resource allocation mechanism, the solutions SDS discovers enjoy excellent stability.
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