Function individual_objectives

examples/multi_objective.py:25–35

(h, X)

#
# individual optimization of each objective
def individual_objectives(h, X):
    print('## Individual:\n')
    objective_values = []

    for k in range(OBJECTIVES):
        h.maximize(np.dot(X, profit[k,:]))
        print(f'  Obj {k+1}: [{"".join(map(lambda x: "{:1.0f}".format(x), profit[k,:]))}]')
        print(f'  Sol {k+1}: [{"".join(map(lambda x: "{:1.0f}".format(x), abs(h.vals(X))))}]\n')
        objective_values.append(h.getObjectiveValue())

    print(f'  OBJ: {pretty_print(objective_values)}\n\n')

#
# manual implementation of lexicographic multi-objective optimization