GNSS are widely used in everyday life, for navigation, precision aircraft landing, high-frequency trading and power distribution networks. However there are always people who wish to deny access, often for reasons such as car theft or drug trafficking. As such it is of interest to many parties to be able to quickly identify and mitigate jamming. To this end, a low power, phase incoherent, detection system was designed. Exhaustive searches are inefficient and so it is proposed that bio-inspired optimisation algorithms will improve the search speed. Two algorithms were implemented and simulated, and their performance compared for both static tests and for tracking a moving jammer. It was found that both algorithms would locate a jammer faster than an exhaustive sweep. However when a moving jammer was introduced, Particle Swarm Optimisation was unable to reliably track, while Invasive Weed Optimisation could easily track both ramps and step changes in position.