Abstract
In recent years a swarm-based optimisation methodology
called Particle Swarm Optimisation (PSO) has developed.
PSO is highly explorative and primarily used in
function optimisation. proposes a swarm-based learning
algorithm based on PSO which is able to discover trees
in tree spaces. Particles are flying through a tree
space forming flocks around peaks of a fitness
function. Because it inherits the explorative property
of PSO, it needs only few evaluations to find suitable
trees.
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