Multi-agent computations are a useful computing paradigm applied in various areas, such as smart grids or distributed information processing. Another field of their application is outdoor lighting design, which is characterized by highly time-consuming optimization tasks. In this paper we focus on the latter case, aiming at scalability and reducing the computing time, which are crucial for solving the lighting design problem. To improve the efficiency of parallel, agent-based computations the results, a reuse approach is introduced. A quantitative comparison with other approaches is also included.