Unmanned vehicle navigation using swarm intelligence

Unmanned vehicles are used to explore physical areas where humans are unable to go due to different constraints. There have been various algorithms that have been used to perform this task. This paper explores swarm intelligence for searching a given problem space for a particular target(s). The work in this paper has two parts. In the first part, a set of randomized unmanned vehicles are deployed to locate a single target. In the second part, the randomized unmanned vehicles are deployed to locate various targets and are then converged at one of targets of a particular interest. Each of the targets carries transmits some information which draws the attention of the randomized unmanned vehicles to the target of interest. The Particle Swarm Optimization (PSO) has been applied for solving this problem. Results have shown that the PSO algorithm converges the unmanned vehicles to the target of particular interest successfully and quickly.