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Varying the topology and probability of re-initialization in particle swarm optimization
Mudassar Iqbal, Alex A. Freitas, and Colin G. Johnson
In E.-G. Talbi, editor, Evolution Artificielle 2005, pages 182-196. University of Lille, October 2005.Abstract
This paper introduces two new versions of dissipative particle swarm optimization. Both of these use a new time-dependent strategy for randomly re-initializing the positions of the particles. In addition, one variation also uses a novel dynamic neighbourhood topology based on small world networks. We present results from applying these algorithms to two well-known function optimization problems. Both algorithms perform considerably better than both standard PSO and the original dissipative PSO algorithms. In particular one version performs significantly better on high-dimensional problems that are inaccessible to traditional methods.
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@inproceedings{2329, author = {Mudassar Iqbal and Alex A. Freitas and Colin G. Johnson}, title = {Varying the Topology and Probability of Re-Initialization in Particle Swarm Optimization}, month = {October}, year = {2005}, pages = {182-196}, keywords = {determinacy analysis, Craig interpolants}, note = {}, doi = {}, url = {http://www.cs.kent.ac.uk/pubs/2005/2329}, publication_type = {inproceedings}, submission_id = {23602_1134843423}, booktitle = {Evolution Artificielle 2005}, editor = {E.-G. Talbi}, organization = {University of Lille}, refereed = {yes}, }