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Swarm Optimization Using Agents Modeled as Distributions
[thesis]
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Particle Swarm Optimization (PSO) is a popular meta-heuristic for black-box optimization. Many variations and extensions of PSO have been developed since its creation in 1995, and the algorithm remains a popular topic of research. In this work we explore a new, abstracted, perspective of the PSO system and present the novel Particle Field Optimization (PFO) algorithm which harnesses this new perspective to achieve a behaviour distinct from traditional PSO systems.
doi:10.22215/etd/2014-10580
fatcat:ibfem2cdmje5hkympd5h2pyq4m