NDLI: Cooperative evolutionary algorithm for space trajectory optimization

Content Provider	Springer Nature Link
Author	Rosa Sentinella, Matteo Casali, Lorenzo
Copyright Year	2009
Abstract	A hybrid evolutionary algorithm which synergistically exploits differential evolution, genetic algorithms and particle swarm optimization, has been developed and applied to spacecraft trajectory optimization. The cooperative procedure runs the three basic algorithms in parallel, while letting the best individuals migrate to the other populations at prescribed intervals. Rendezvous problems and round-trip Earth–Mars missions have been considered. The results show that the hybrid algorithm has better performance compared to the basic algorithms that are employed. In particular, for the rendezvous problem, a 100% efficiency can be obtained both by differential evolution and the genetic algorithm only when particular strategies and parameter settings are adopted. On the other hand, the hybrid algorithm always attains the global optimum, even though nonoptimal strategies and parameter settings are adopted. Also the number of function evaluations, which must be performed to attain the optimum, is reduced when the hybrid algorithm is used. In the case of Earth–Mars missions, the hybrid algorithm is successfully employed to determine mission opportunities in a large search space.
Starting Page	211
Ending Page	227
Page Count	17
File Format	PDF
ISSN	09232958
Journal	Celestial Mechanics and Dynamical Astronomy
Volume Number	105
Issue Number	1-3
e-ISSN	15729478
Language	English
Publisher	Springer Netherlands
Publisher Date	2009-08-07
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Trajectory optimization Evolutionary algorithms Mission planning Hybrid algorithm Earth–Mars round-trip mission Mathematics Astronomy, Observations and Techniques Astrophysics and Astroparticles Dynamical Systems and Ergodic Theory
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Mathematical Physics Astronomy and Astrophysics Modeling and Simulation Computational Mathematics Space and Planetary Science

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