@testset "Monotonic Basin Hopping" begin

  using PlotlyJS: savefig

  println("Testing Monotonic Basin Hopper")

  """
  The cost function for the mission
  """
  function easy_cost(m::Mission, C3::Float64, v∞::Float64)
    norm_mass = (m.start_mass - prop(m)[7]) / m.start_mass
    norm_C3 = ( m.launch_v∞ ⋅ m.launch_v∞ ) / C3
    norm_v∞ = norm(m.phases[end].v∞_in) / v∞
    return 3norm_mass + norm_C3 + norm_v∞
  end

  # Mission Parameters that won't change (they're very lenient)
  sc, fuel = bepi, 3_600.
  c3, v∞ = 100., 20.

  # Convenience function for these tests
  Thesis.mbh(fbs, lw, la, sp, dp) = mbh(fbs, sc, fuel, lw, c3, v∞, la, easy_cost,
                                        search_patience=sp, drill_patience=dp, verbose=true)
  
  # Again, we're going to test a simple case first
  # This one seems to converge really easily, so we don't run it much
  launch_window = DateTime(1992,11,1), DateTime(1992,12,1)
  latest_arrival = DateTime(1993,6,1)
  planets = [ Earth, Venus ] 
  best, archive = mbh(planets, launch_window, latest_arrival, 2, 3)
  @test typeof(best) == Mission
  p = plot(best, title="MBH Test Solution")
  savefig(p,"../plots/mbh_test_1_phase.html")

  # Now for a more complicated two-phase mission, with a bigger date range
  # This is known to have a solution though
  planets = [Earth, Venus, Mars]
  launch_window = DateTime(2021,6,1), DateTime(2022,6,1)
  latest_arrival = DateTime(2024,1,1)
  best, archive = mbh(planets, launch_window, latest_arrival, 10, 3)
  @test typeof(best) == Mission
  p = plot(best, title="MBH Test Solution")
  savefig(p,"../plots/mbh_test_2_phase.html")

end