Iqbal, M. and Freitas, A.A. and Johnson, Colin G.
Varying the Topology and Probability of Re-Initialization in Particle Swarm Optimization.
In: Evolution Artificielle 2005.
(Full text available)
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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