Abstract: MANA is a popular agent-based distillation (ABD), or low-resolution simulation, which has been used to explore a variety of defence operations. Movement of agents within the MANA ABD is based on a simple attraction-repulsion weighting system and an associated numerical penalty function. A recent paper by the author analysed this movement algorithm to find unexpected behaviour and suggested an alternative penalty function. This paper compares the two approaches on a dynamic, combative scenario. Appropriate parameter values for the proposed approach are derived and the effect of the movement algorithm on typical parametric studies is also investigated.