Interior Coordination by PSO-like MAS

This paper proposes a furniture arrangement method based on a multi-agent approach for interior
coordination. In the proposed model, each furniture item acts as an agent, interacts with an environment and other agents, and moves to where it wants to go. Consequently, all furniture items reach well-coordinated placement. Agent movement of the proposed method is inspired by particle movement in particle swarm optimization algorithms, that is, agents velocity is calculated from linear summation of vectors to avoid constraint violation, to harmonize with other agents, and so on. A simple example shows that the proposed method can make well-coordinated furniture arrangement from randomized positions.

Article written by S. Ono