Systems Engineering and Electronics

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Multi-objective evolutionary optimization for geostationary orbit satellite mission planning

Jiting Li*, Sheng Zhang, Xiaolu Liu, and Renjie He   

  1. College of Information System and Management, National University of Defense Technology, Changsha 410073, China
  • Online:2017-10-25 Published:2010-01-03


In the past few decades, applications of geostationary orbit (GEO) satellites have attracted increasing attention, and with the development of optical technologies, GEO optical satellites have become popular worldwide. This paper proposes a general working pattern for a GEO optical satellite, as well as a target observation mission planning model. After analyzing the requirements of users and satellite control agencies, two objectives are simultaneously considered: maximization of total profit and minimization of satellite attitude maneuver angle. An NSGA-II based multi-objective optimization algorithm is proposed, which contains some heuristic principles in the initialization phase and mutation operator, and is embedded with a traveling salesman problem (TSP) optimization. The validity and performance of the proposed method are verified by extensive numerical simulations that include several types of point target distributions.