%0 Journal Article
%T Evolutionary Algorithms in Astrodynamics
%A Marcin Misiak
%J International Journal of Astronomy and Astrophysics
%P 435-439
%@ 2161-4725
%D 2016
%I Scientific Research Publishing
%R 10.4236/ijaa.2016.64035
%X <p style=\"margin-left:10.0pt;\">
	<span style=\"font-family:&quot;\">This paper presents the
method of solving the equations of motions by evolutionary <span>algorithms. Starting from random trajectory</span></span><span style=\"font-family:&quot;\">,</span><span style=\"font-family:&quot;\"> the solution is obtained by accepting</span><span style=\"font-family:&quot;\"> the
mutation if it leads to a better approximations of Newton</span><span style=\"font-family:&quot;\">¡¯</span><span style=\"font-family:&quot;\">s second law. The general
method is illustrated by finding trajectory to the Moon.</span><span style=\"font-family:&quot;\"></span>
</p>
%K Genetic Algorithms
%K Newton¡¯s Equations of Motion
%K Principle of Least Action
%K Astrodynamics
%K Celestial Mechanics
%K Orbital Motion
%K Optimal Control
%K Two-Point  Boundary Value Problem
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=72886