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- posterJuly 2009
Dynamic particle swarm optimization via ring topologies
GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computationPages 1745–1746https://doi.org/10.1145/1569901.1570138Particle Swarm Optimization (PSO) has been proven to be a fast and effective search algorithm capable of solving complex and varied problems. To date numerous swarm topologies have been proposed and investigated as a means of increasing the ...
- ArticleJuly 2007
Earthquake classifying neural networks trained with random dynamic neighborhood PSOs
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computationPages 110–117https://doi.org/10.1145/1276958.1276974This paper investigates the use of Random Dynamic Neighborhoods in Particle Swarm Optimization (PSO) for the purposeof training fixed-architecture neural networks to classify a real-world data set of seismological data.Instead of the ring or fully-...