Before revision:  Complex relationships between scale, morphology, and frequency lead to optimized forward swimming speeds for a particular bell composition, stemming from intricate vortex wake topology, interactions, and fluid mixing. Lastly, we offer an open source computational jellyfish locomotion model to the science community that can be used as a starting place for future numerical experimentation.
After revision:  Thorough 2D parameter subspace explorations illustrated optimal parameter combinations in which give rise to enhanced swimming performance. All performance metrics indicated a higher sensitivity to bell actuation frequency than fluid scale or contraction phase kinematics, via Sobol sensitivity analysis, on a high performance parameter subspace. Moreover, Pareto-like fronts were identified in the overall performance space involving the cost of transport and forward swimming speed. Patterns emerged within these performance spaces when highlighting different parameter regions, which complemented the global sensitivity results. Lastly, an open source computational jellyfish locomotion model to the science community that can be used as a starting place for future numerical experimentation.