Particle swarm optimization: Difference between revisions

Revision as of 17:23, 16 March 2025

Revision as of 09:19, 19 March 2025

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A series of standard implementations have been created by leading researchers, "intended for use both as a baseline for performance testing of improvements to the technique, as well as to represent PSO to the wider optimization community. Having a well-known, strictly-defined standard algorithm provides a valuable point of comparison which can be used throughout the field of research to better test new advances."<ref name=bratton2007/> The latest is Standard PSO 2011 (SPSO-2011).<ref name=Zambrano-Bigiarini2013/>

In addition, some PSO variants have been developed to solve large-scale global optimization (LSGO) problems with more than 1000 dimensions. Representative variants include competitive swarm optimizer (CSO) and level-based learning swarm optimizer (LLSO).<ref name=llso/>. Recently, PSO has also been extended to solve multi-agent consensus-based distributed optimization problems, e.g., multi-agent consensus-based PSO with adaptive internal and external learning (MASOIE) ,<ref name=masoie/>, etc.

=== Hybridization ===