MGA 1DSM global optimization

These plots are produced by the following code:

from PyKEP import *
kep_examples.run_example5()

after the self-adaptive differential evolution algorithm concludes its computations.

The example demonstrates the use of the mga_1dsm problem constructor of the interplanetary module. This helper class allows to construct a PyGMO global optimization problem (PyGMO project) representing a Multiple Gravity Assist Interplanetary Trajectory where only one Deep Space Manouvre is allowed in each leg. The problem is quickly constructed as either a single objective (total DV) or even a multiobjective optimization problem (DV and time of flight)

In the particular instance constructed in the example, we have an Earth-Venus-Earth transfer with a Venus intermediate fly-by. he selected launch windows is 2016-2017, the launch hyperbolic velocity is 2.5 km/s and the allowed time of flight is in [0.5,3] years.

To solve such a global optimization problem, we use jDE, a self-adaptive version of differential evolution and the generalized migration operator, thus computing the solution in eight paralel threads.

The code for this example can be studied here