Boundary mapping of 3-dimensional regions

The problem of mapping the boundary of a 3-dimensional region is tackled in this paper. The 3-dimensional region can be interpreted as a representative enclosure set contained within a static boundary of contaminants spread in the environment. A novel swarm intelligence based algorithm, to map this 3-dimensional boundary, is proposed in this paper. It has been shown that Glowworm Swarm Optimization (GSO) algorithm is capable of localizing multiple sources simultaneously present in the environment. This algorithm has been significantly modified for the purpose of mapping the boundary of 3-dimensional regions. These modifications lead to a spreading behavior of the swarm as it nears the boundary and helps it to position its members on the surface in the 3-D space so as to map it to the maximum extent possible. Four candidate examples are considered, and the simulation results obtained are seen to be promising.