Abstract
Using a geometric framework for the interpretation of
crossover of recent introduction, we show an intimate
connection between particle swarm optimisation (PSO)
and evolutionary algorithms. This connection enables us
to generalise PSO to virtually any solution
representation in a natural and straightforward way. We
demonstrate this for the cases of Euclidean, Manhattan
and Hamming spaces.
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