A Study of Collapse in Bare Bones Particle Swarm Optimization

Blackwell, Tim. 2011. A Study of Collapse in Bare Bones Particle Swarm Optimization. IEEE Transactions on Evolutionary Computation, 16(3), pp. 354-372. ISSN 1089-778X [Article]

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Abstract or Description

The dynamic update rule of particle swarm optimization is formulated as a second-order stochastic difference equation and general relations are derived for search focus, search spread, and swarm stability at stagnation. The relations are applied to three particular particle swarm optimization (PSO) implementations, the standard PSO of Clerc and Kennedy, a PSO with discrete recombination, and the Bare Bones swarm. The simplicity of the Bare Bones swarm facilitates theoretical analysis and a further no-collapse condition is derived. A series of experimental trials confirms that Bare Bones situated at the edge of collapse is comparable to other PSOs, and that performance can be still further improved with the use of an adaptive distribution. It is conjectured that, subject to spread, stability and no-collapse, there is a single encompassing particle swarm paradigm, and that an important aspect of parameter tuning within any particular manifestation is to remove any deleterious behavior that ensues from the dynamics.

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Departments, Centres and Research Units:

Research Office > REF2014


29 September 2011Published

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Date Deposited:

05 Mar 2012 08:53

Last Modified:

12 Oct 2023 13:18

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Yes, this version has been peer-reviewed.



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