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<title>AAS 98-202</title><body BGCOLOR="ffffff">
<h2>AAS 98-202</h2>
<h2>OPTIMAL INTERPLANETARY SPACECRAFT TRAJECTORIES VIA A PARETO GENETIC ALGORITHM</h2>
<h4>J. W. Hartmann, V. L. Coverstone-Carroll - University of Illinois at Urbana-Champaign; S. N. Williams - Jet Propulsion Laboratory</h4>
<h2> Abstract </h2>
A Pareto genetic algorithm is applied to the optimization of low-thrust interplanetary spacecraft trajectories.  A multi-objective, nondominated sorting algorithm is developed following existing methodologies.  A hybridized scheme is designed integrating the Pareto genetic algorithm with a calculus-of-variations-based trajectory optimization algorithm.  "Families" of Pareto optimal trajectories are generated for the cases of Earth-Mars flyby, Earth-Mars rendezvous, and Earth-Mercury rendezvous trajectories.
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