Optimal strategies found using genetic algorithms for deflecting hazardous near-earth objects

Jacob A. Englander, Bruce A. Conway, Bradley J. Wall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Potentially hazardous asteroids can be deflected away from the Earth using a kinetic impactor spacecraft. An optimal control problem is solved to find the time history of thrust magnitude and direction to steer the low-thrust spacecraft from the Earth to the asteroid so that the impact maximizes the resulting miss distance. Because the solution space considered by the optimizer is large and the objective function is complicated, intuition is not sufficient to provide an adequate initial guess for the nonlinear programming problem solver used to optimize all aspects of the trajectory. A recently developed shape-based trajectory approximation method coupled with a genetic algorithm is used to provide this initial guess to the optimizer and make the problem tractable.

Original languageEnglish (US)
Title of host publication2009 IEEE Congress on Evolutionary Computation, CEC 2009
Pages2309-2315
Number of pages7
DOIs
StatePublished - Nov 25 2009
Event2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway
Duration: May 18 2009May 21 2009

Publication series

Name2009 IEEE Congress on Evolutionary Computation, CEC 2009

Other

Other2009 IEEE Congress on Evolutionary Computation, CEC 2009
CountryNorway
CityTrondheim
Period5/18/095/21/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Theoretical Computer Science

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