LT-MGA global optimization (Nuclear electric propulsion)

This plot is produced by the following code:

from PyKEP import *
kep_examples.run_example3()

after the monotonic basin hopping algorithm concludes its computations. Different images are actually produced each time as the algorithm is non-deterministic.

The example demonstrates the use of the sims-flanagan module of PyKEP to perform global optimization of a multiple leg interplanetary trajectory over large launch windows. In particular, it defines a transfer between Earth and Mercury making use of a Venus intermediate fy-by as an NLP global optimization problem (using the open source PyGMO project) and it then attempts to find one solution using the Monotonic Basin Hopping meta-algorithm connected to an SQP local optimization technique (from SciPy). In case the user has a license for SNOPT, the use of this typically result in a performance gain

The code for this example can be studied here