Solving the Global Trajectory Optimization Problem with Archive-Based Differential Evolution

Abstract

The paper describes application of differential evolution with modified mutation strategy to the global trajectory optimization problems. The problems are provided by the European Space Agency and represent trajectories of several well-known spacecraft, namely, Cassini, Rosetta and Messenger. Using archive based differential evolution, global best solutions were found for these problems, and the best known solution was found for the Cassini mission.