Cooperative evolutionary algorithm for space trajectory optimization

Author:

Rosa Sentinella Matteo,Casalino Lorenzo

Publisher

Springer Science and Business Media LLC

Subject

Space and Planetary Science,Astronomy and Astrophysics,Applied Mathematics,Computational Mathematics,Mathematical Physics,Modelling and Simulation

Reference37 articles.

1. Bessette C., Spencer D.: Optimal space trajectory design: a heuristic-based approach. Adv. Astronaut. Sci. 124, 1611–1628 (2006)

2. Biesbroek, R.: Study of genetic algorithm settings for trajectory optimisation. In: Paper Presented at the 54th International Astronautical Congress, Bremen, Germany, IAF-03-A.P.30, Sept.–Oct. (2003)

3. Biesbroek, R.: A comparison of differential evolution method with genetic algorithms for orbit optimisation. In: Paper Presented at the 57th International Astronautical Congress, Valencia, Spain, IAF-06-C1.4.02, Oct. (2006)

4. Bramlette M.: Initialization, mutation, and selection methods in genetic algorithms for function optimization. In: Belew, R.K., Booker, L.B.(eds) Proceedings of the Fourth International Conference on Genetic Algorithms, pp. 100–107. Morgan Kaufmann, San Mateo, CA (1991)

5. Casalino L., Colasurdo G., Pastrone D.: Mission opportunities for human exploration of Mars. Planet. Space. Sci. 46(11/12), 1613–1622 (1998)

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