  Three basic factors govern the individual behaviour of a particle: the
inertia from its previous displacement; the attraction to its own best
experience; and the attraction to a given neighbour's best experience. The
importance awarded to each factor is controlled by three coefficients: the
inertia; the individuality; and the sociality weights. The social behaviour is
ruled by the structure of the social network, which defines the neighbours that
are to inform of their experiences to a given particle. This paper presents a
study of the influence of different settings of the coefficients as well as of
the combined effect of different settings and different neighbourhood
topologies on the speed and form of convergence.
