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Field-deployed robotic fleets can provide solutions that improve operational efficiency, control operational costs, and provide farmers with transparency over day-to-day scouting operations. The topology of agricultural environments, such as polytunnels, provides a basic configuration that can be exploited to create topological maps aiding operational planning and robot navigation. However, these environments these environments, optimised for human operations or large farming vehicles, pose a major challenge for multiple moving robots to coordinate their navigation while performing tasks. An unmodified farm environment, not tailored for robotic fleet deployments, can cause traffic bottlenecks, thereby affecting the overall efficiency of the fleet. In this work, we propose a Genetic Algorithm-based Topological Optimisation (GATO) algorithm that discretises the search space of topological modifications into finite …