Multi-criteria genetic optimisation of the manoeuvres of a two-stage launcher

Information Sciences

Volumn 180, Issue 6, 2010, Pages 896-910

  Alonso Zotes, Fernando ^a   Santos Peñas, Matilde ^b  

^a UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

^b UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

Ariane; Genetic algorithms; Launcher; Optimisation; Variable mutation

Indexed keywords

ADJUSTABLE PARAMETERS; ANALYTICAL SOLUTIONS; ASCENT TRAJECTORY; CIRCULAR LOW-EARTH ORBITS; MISSION CONSTRAINTS; MULTI-CRITERIA; NON-TRADITIONAL; OPTIMISATION METHOD; OPTIMISATIONS; SEARCH AREA; TANGENTIAL ESCAPE; TARGET FUNCTIONS; TECHNICAL CHARACTERISTICS; TECHNICAL SPECIFICATIONS; TWO STAGE; VARIABLE MUTATION RATE;

AIRFOILS; EQUATIONS OF MOTION; LAUNCHING; OPTIMIZATION; ORBITS;

GENETIC ALGORITHMS;

EID: 73149105070     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2009.11.001     Document Type: Article

References (24)

1. Aestus engine specifications at Arianespace's Internet site, 2009. .
2. F. Alonso, M. Santos, Optimización de lanzamiento vertical de dos fases utilizando un algoritmo genético multicriterio, Electronic Actas XXVIII JJAA, Spain, 2007.
3. Alonso F., and Santos M. GA optimization of the height of a low earth orbit. Computational Intelligence in Decision and Control (2008), World Scientific 719-724
4. Bate R.R., Mueller D.D., and White J.E. Fundamentals of Astrodynamics (1971), Dover Publications
5. Bryson A.E., and Ho Y.C. Applied Optimal Control. second ed. (1975), Hemisphere Publishing, Washington, D.C.
6. Calise A.J., and Brandt N. Generation of launch vehicle abort trajectories using a hybrid optimization method. Journal of Guidance, Control, and Dynamics 27 6 (2004) 930
7. Callaway D.W. Coplanar Air Launch With Gravity-turn (2004), Air Force Institute of Technology
8. Coverstone-Carroll V., Hartmann J.W., and Mason W.J. Optimal multi-objective low-thrust spacecraft trajectories. Computational Methods and Application of Mechanical Engeenering 186 (2000) 387-402
9. Fonseca C.M., and Fleming P.J. Multiobjective optimization and multiple constraints handling with evolutionary algorithms-part I: A unified formulation. IEEE Transactions on Systems, Man, and Cybernetics Part A 28 1 (1998) 26-37
10. C. Gang, W. Zi-Ming, X. Min, C. Si-Lu, Genetic algorithm optimization of RLV reentry trajectory, in: American Institute of Aeronautics and Astronautics/CIRA 13th International Space Planes and Hypersonic Systems and Technologies AIAA, 2005, pp. 2005-3269.
11. Glenn Research Center, Earth Atmosphere Model by NASA, 2009. .
12. Goldberg D.E. Genetic Algorithms in Search, Optimization and Machine Learning (1989), Adisson-Wesley, MA
13. Kouchakpour P., Zarnich A., and Bräuni T. Dynamic population variation in genetic programming. Information Sciences 179 8 (2009) 1078-1091
14. Lozano M., Herrera F., and Cano J.R. Replacement strategies to preserve useful diversity in steady-state genetic algorithms. Information Sciences 178 23 (2008) 4421-4433
15. Marín F.J., García F., and Sandoval F. Algoritmos genéticos: una estrategia para la búsqueda y la optimización. Informática y Automática 25 3 (1992) 4
16. Pamadi B. Simple guidance method for single stage to low earth orbit. Journal of Guidance Control and Dynamics 18 6 (1995) 1420-1426
17. E. Perez (Arianespace), Ariane 5 User's Manual, Issue 4, Rev. 0, November 2004.
18. Rauwolf G.A., and Coverstone-Carroll V.L. Near-optimal low-thrust orbit transfers generated by a genetic algorithm. Journal of Spacecraft and Rockets 33 6 (1996) 859-862
19. Sutton G.P., and Biblarz O. Rocket Propulsion Elements. seventh ed. (2001), Wiley & Sons, NY
20. US Standard Atmosphere 1976, US Government Printing Office, Washington, D.C., 1976.
21. Vulcain engine specifications at ESA's Internet site, 2009. .
22. A. Walter, An initial guess generator for launch and reentry vehicle trajectory optimization, Ph.D., Institut für Flugmechanik und Flugregelung der Universität Stuttgart, Germany, 2001. .
23. Wang Y., and Yang Y. Particle swarm optimization with preference order ranking for multi-objective optimization. Information Sciences 179 12 (2009) 1944-1959
24. Zitzler E., Laumanns M., Thiele L., Fonseca C.M., and Grunert da Fonseca V. Performance assessment of multiobjective optimizers: an analysis and review. IEEE Transactions on Evolutionary Computation 7 2 (2003) 117-132