Visible-light communication is a well known emerging technology, which enables high data rate wireless access in indoor environments, by making dual-use of light-emitting diode luminaires for providing lighting and communication. Managing the multiple access and addressing the users' mobility are among the current challenges of this technology. To manage the multipleaccess interference arising from non-intended received signals of the other users, different approaches have been proposed so far, including zero-forcing pre-coding and broadcasting of the users' signals. However, by this approach, the network performance is sensitive to the users' locations, since they affect the correlation properties of the network channel matrix; a higher correlation (e.g., for the case of users getting closer together) results in a performance degradation. To mitigate this, we propose a novel approach of optimizing the receivers' field-of-views based on the bio-inspired particle swarm optimization, in order to adapt to the users' locations, and hence improve the network robustness. The efficiency of the proposed method is demonstrated through numerical simulations.