In this paper we present the modified particle swarm optimization algorithm, where gravitational interactions between particles are used for computing learning coefficients. The behaviour of the algorithm is demonstrated by solving the twodimensional Diophantine equation problem. This allows us to observe the search space and workflow of the algorithm directly on the two-dimensional plane.
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