:mod:`ocelot.cpbd.moga`
=======================

.. py:module:: ocelot.cpbd.moga


Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   ocelot.cpbd.moga.Moga



.. data:: MPI_COMM
   

   

.. py:class:: Moga(bounds, weights=(-1.0, -1.0))

   .. method:: set_params(self, n_pop=None, weights=None, elite=None, penalty=None, n_gen=None, seed=None, log_print=None, log_file=False, plt_file=False)


   .. method:: generate_ind(self)


   .. method:: init_deap_functions(self)


   .. method:: feasible(self)


   .. method:: optimize(self, init_pop)


   .. method:: init_pop(self, init_pop)


   .. method:: eval_pop(self, pop)


   .. method:: get_good_inds(self, pop)


   .. method:: get_nondominated_inds(self, pop)


   .. method:: get_best_inds(self, pop)


   .. method:: apply_preselect(self, pop)


   .. method:: apply_select(self, pop, offspring)


   .. method:: apply_crossover(self, pop)


   .. method:: apply_mutation(self, pop)


   .. method:: replace_rand_by_good_inds(self, pop, good_inds, num=None)


   .. method:: replace_bad_by_rand_inds(self, pop)


   .. method:: replace_bad_by_good_inds(self, pop, good_pop)


   .. method:: replace_rand_by_new_inds(self, pop, num)


   .. method:: nsga2(self, fit_func, fit_func_args=[], init_pop=None, cxpb=0.95, mutpb=0.95)