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2020 IEEE International Conference on Information Technologies

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

Vladimir Stanovov
Shakhnaz Akhmedova
Eugene Semenkin
Reshetnev Siberian State University of Science and Technology, Krasnoyarsk
Russian Federation

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.

Key words:
Differential evolution
global trajectory optimization
spacecraft trajectory optimization