Modified:
/trunk/docs/tutorial.rst
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--- /trunk/docs/tutorial.rst Tue Dec 6 10:12:01 2011
+++ /trunk/docs/tutorial.rst Fri Dec 9 08:29:54 2011
@@ -161,7 +161,7 @@
Lunar Explorer
==============
-In this example [#]_, we will evolve the configuration for a satellite
designed to travel around the Moon and return to Earth. The satellite is
defined by five parameters: its orbital height, mass, boost velocity (both
x and y components), and initial y (vertical from Earth) velocity.
+In this example [#]_, we will evolve the configuration for a space probe
designed to travel around the Moon and return to Earth. The space probe is
defined by five parameters: its orbital height, mass, boost velocity (both
x and y components), and initial y (vertical from Earth) velocity. The
physical problem which we are here using optimization to solve is known
as "Gravity Assist" or "Gravity Slingshot" and is used by spacecraft to
alter the direction and speed of spacecraft, reducing the need for
propellant. It was first propsed by Yuri Kondratyuk and first used by the
Soviet space probe Luna 3 in 1959 to take the first pictures of the
never-before seen far side of the moon. The computational power available
to the designers of the Luna 3 was much smaller than what is available
today. The optimization of the space craft's trajectory was therefore a
very difficult task. The evaluator presented here makes some simplifying
assumptions, but demonstrates the general principle of using evolutionary
computation to solve an engineering or scientific task.
"""""""""""""
The Generator