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Stabilizing swarm intelligence search via positive feedback resource allocation

Nasuto, 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

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Abstract/Summary

A 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.

Item Type:Book or Report Section
Divisions:Faculty of Science > School of Systems Engineering
ID Code:14438
Additional Information:Proceedings Paper International Workshop on Nature Inspired Cooperative Strategies for Optimization NOV 08-10, 2007 Acireale, ITALY
Publisher:Springer

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