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Optimization of Missile Trajectory Using Genetic Algorithm

M. Niranjan, M.S. Saipreethy, Phalgun R. Lodaya

Abstract


In this paper, a method for the calculation of optimal, or nearly optimal, solutions to trajectory problems is presented. This method, which is applicable to a large category of problems, is based on a genetic algorithm which is an optimum seeking method that attempts to apply the rules of biological evolution, mutation, and selection to technical optimization problems. The modification is achieved by repeatedly applying global optimization genetic algorithm method while setting the number of design variables. The results show the successful application of the genetic algorithm to trajectory problems

Keywords


genetic algorithm,optimum seeking method,biological evolution

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References


Bäck, T., Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms, Oxford University Press, Oxford, 1996.

Goldberg, D. E., Genetic Algorithms in Search, Optimization, and Machine Learning, Addison Wesley, Reading, Massachusetts, 1989.

Deb, K., Multi-Objective Optimization Using Evolutionary Algorithms, John Wiley & Sons, Inc., New York, New York, 2001.

Hartmann, J. W., “Low-Thrust Trajectory Optimization Using Stochastic Optimization Methods,” M.S. Thesis, Aerospace Engineering Department, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1996.

Hartmann, J. W., Coverstone-Carroll, V., and Williams, S. N., “Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm,” Journal of the Astronautical Sciences, Vol. 46, No. 3, 1998, pp. 267–282.

Srinivas, N., and Deb, K., “Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms,” Evolutionary Computation, Vol. 2, No. 3, 1994, pp. 221-248.

Lee, S., and Russell, R. P., “Multi-Objective Parallel Genetic Algorithms Applied to the Primer Vector Control Law,” Paper AAS 06-196, AAS/AIAA Space Flight Mechanics Meeting, Tampa, Florida, January 22-26, 2006.

Lee, S., von Allmen, P., Fink, W., Petropoulos, A. E., and Terrile, R. J., “Design and Optimization of Low-Thrust Orbit Transfers Using the Q-law and Evolutionary Algorithms”, Paper T2-1202, IEEE Aerospace Conference Proceedings, BigSky, Montana, March 2005.

Petropoulos, A. E., “Simple Control Laws for Low-Thrust Orbit Transfers,” Paper AAS 03-630, AAS/AIAA Astrodynamics Specialist Conference, August 2003.

Russell, R. P., “Primer Vector Theory Applied to Global Low-Thrust Trade Studies,” Journal of Guidance, Control, and Dynamics, Vol. 30, No. 2, 2007, pp. 460-472.

Betts, J. T.,“Survey of Numerical Methods for Trajectory Optimization,” Journal of Guidance, Control, and Dynamics, Vol. 21, No. 2, 1998, pp. 193–207.


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