def __init__(self, window, cities_list, show_window=True):
if show_window:
self.ini = window.figure.add_subplot(211)
self.end = window.figure.add_subplot(212)
self._cities_list = cities_list
current_solution = Tour()
current_solution.generate(self._cities_list)
if show_window:
self.plt_reload(211, current_solution.get_tour(), self._temp)
print 'Initial distance: ', current_solution.get_distance()
self.x_graph.append(0)
self.y_graph.append(current_solution.get_distance())
best = Tour(current_solution)
while self._temp > 1:
new_solution = Tour(current_solution)
# swap cities
self.swap_solution(new_solution)
# reverse slide of list
self.reverse_solution(new_solution)
# translate slice of list
self.translate_solution(new_solution)
current_energy = current_solution.get_distance()
neighbour_energy = new_solution.get_distance()
if self.acceptance_probability(current_energy, neighbour_energy, self._temp) > random():
current_solution = new_solution
if current_solution.get_distance() < best.get_distance():
best = current_solution
if show_window:
self.plt_reload(212, new_solution.get_tour(), self._temp)
self.x_graph.append(self.x_graph[-1] + 1)
self.y_graph.append(new_solution.get_distance())
self._temp *= (1 - self._cooling_rate)
print 'Final distance: %.4f' % (best.get_distance())
if show_window:
self.plt_reload(212, best.get_tour(), self._temp)
self.x_graph.append(self.x_graph[-1] + 1)
self.y_graph.append(best.get_distance())
self.best_distance = best.get_distance()
